diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index a9981da4f4..3f227b2737 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -80,7 +80,7 @@ jobs: - name: Install dependencies working-directory: src/${{ matrix.package }} - run: uv sync --frozen --all-extras --dev + run: uv sync --locked --all-extras --dev - name: Run pyright working-directory: src/${{ matrix.package }} diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index a3189102da..2da6ee94bd 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -130,7 +130,7 @@ jobs: - name: Install dependencies working-directory: src/${{ matrix.package }} - run: uv sync --frozen --all-extras --dev + run: uv sync --locked --all-extras --dev - name: Run pyright working-directory: src/${{ matrix.package }} diff --git a/README.md b/README.md index 40053069d6..812361a7fd 100644 --- a/README.md +++ b/README.md @@ -63,6 +63,7 @@ Official integrations are maintained by companies building production ready MCP - AgentQL Logo **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/). - AgentRPC Logo **[AgentRPC](https://github.com/agentrpc/agentrpc)** - Connect to any function, any language, across network boundaries using [AgentRPC](https://www.agentrpc.com/). - **[Agentset](https://github.com/agentset-ai/mcp-server)** - RAG for your knowledge base connected to [Agentset](https://agentset.ai). +- Airwallex Logo **[Airwallex Developer](https://www.npmjs.com/package/@airwallex/developer-mcp)** - Empowers AI coding agents with the tools they need to assist developers integrating with [Airwallex APIs](https://www.airwallex.com/docs/api/) - Aiven Logo **[Aiven](https://github.com/Aiven-Open/mcp-aiven)** - Navigate your [Aiven projects](https://go.aiven.io/mcp-server) and interact with the PostgreSQL®, Apache Kafka®, ClickHouse® and OpenSearch® services - Alation Logo **[Alation](https://github.com/Alation/alation-ai-agent-sdk)** - Unlock the power of the enterprise Data Catalog by harnessing tools provided by the Alation MCP server. - Alby Logo **[Alby Bitcoin Payments](https://github.com/getAlby/mcp)** - Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally with your agent. @@ -88,6 +89,7 @@ Official integrations are maintained by companies building production ready MCP - Apify Logo **[Apify](https://github.com/apify/apify-mcp-server)** - Use 6,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more - APIMatic Logo **[APIMatic MCP](https://github.com/apimatic/apimatic-validator-mcp)** - APIMatic MCP Server is used to validate OpenAPI specifications using [APIMatic](https://www.apimatic.io/). The server processes OpenAPI files and returns validation summaries by leveraging APIMatic's API. - Apollo Graph Logo **[Apollo MCP Server](https://github.com/apollographql/apollo-mcp-server/)** - Connect your GraphQL APIs to AI agents +- Appium Logo **[Appium MCP Server](https://github.com/appium/appium-mcp.git)** - MCP server for Mobile Development and Automation | iOS, Android, Simulator, Emulator, and Real Devices - Aqara Logo **[Aqara MCP Server](https://github.com/aqara/aqara-mcp-server/)** - Control [Aqara](https://www.aqara.com/) smart home devices, query status, execute scenes, and much more using natural language. - Archbee Logo **[Archbee](https://www.npmjs.com/package/@archbee/mcp)** - Write and publish documentation that becomes the trusted source for instant answers with AI. Stop cobbling tools and use [Archbee](https://www.archbee.com/) — the first complete documentation platform. - Arize-Phoenix Logo **[Arize Phoenix](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp)** - Inspect traces, manage prompts, curate datasets, and run experiments using [Arize Phoenix](https://github.com/Arize-ai/phoenix), an open-source AI and LLM observability tool. @@ -144,6 +146,7 @@ Official integrations are maintained by companies building production ready MCP - Cleanup Crew logo **[Cleanup Crew](https://cleanupcrew.ai/install)** - Real-time human support service for non-technical founders using AI coding tools. When AI hits a wall, request instant human help directly from your IDE. - ClickHouse Logo **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server. - ClickSend Logo **[ClickSend](https://github.com/ClickSend/clicksend-mcp-server/)** - This is the official ClickSend MCP Server developed by ClickSend team. +- Clix Logo **[Clix MCP Server](https://github.com/clix-so/clix-mcp-server)** - Clix MCP Server that enables AI agents to provide real-time, trusted Clix documentation and SDK code examples for seamless integrations. - CloudBase Logo **[CloudBase](https://github.com/TencentCloudBase/CloudBase-AI-ToolKit)** - One-stop backend services for WeChat Mini-Programs and full-stack apps with serverless cloud functions and databases by [Tencent CloudBase](https://tcb.cloud.tencent.com/) - CloudBees Logo **[CloudBees CI](https://docs.cloudbees.com/docs/cloudbees-ci-mcp-router/latest/)** - Enable AI access to your [CloudBees CI](https://www.cloudbees.com/capabilities/continuous-integration) cluster, the Enterprise-grade Jenkins®-based solution. - CloudBees Logo **[CloudBees Unify](https://docs.cloudbees.com/docs/cloudbees-unify-mcp-server/latest/install/mcp-server)** - Enable AI access to your [CloudBees Unify](https://www.cloudbees.com/unify) environment. @@ -185,12 +188,15 @@ Official integrations are maintained by companies building production ready MCP - DeepL Logo **[DeepL](https://github.com/DeepLcom/deepl-mcp-server)** - Translate or rewrite text with [DeepL](https://deepl.com)'s very own AI models using [the DeepL API](https://developers.deepl.com/docs) - DeepQ Logo **[DeepQ](https://github.com/shenqingtech/deepq-financial-toolkit-mcp-server)** - DeepQ Technology's Financial Toolkit MCP Server is an Chinese Financial AI toolkit provides comprehensive financial data and analytical tool support for AI large language models. - Defang Logo **[Defang](https://github.com/DefangLabs/defang/blob/main/src/pkg/mcp/README.md)** - Deploy your project to the cloud seamlessly with the [Defang](https://www.defang.io) platform without leaving your integrated development environment +- DeployHQ Logo **[DeployHQ](https://github.com/deployhq/deployhq-mcp-server)** – MCP server for DeployHQ API integration, enabling AI assistants to manage deployments, list projects, and monitor deployment status. +- Destinia Logo **[Destinia](https://destinia.com/developers)** - Provider tools to search for hotels in Destinia and get listing details. - Detailer Logo **[Detailer](https://detailer.ginylil.com/)** – Instantly generate rich, AI-powered documentation for your GitHub repositories. Designed for AI agents to gain deep project context before taking action. - DevCycle Logo **[DevCycle](https://docs.devcycle.com/cli-mcp/mcp-getting-started)** - Create and monitor feature flags using natural language in your AI coding assistant. - DevExpress Logo **[DevExpress](https://docs.devexpress.com/GeneralInformation/405551/help-resources/dev-express-documentation-mcp-server-configure-an-ai-powered-assistant)** Documentation MCP server — Get instant, AI-powered access to 300,000+ help topics on [DevExpress](https://www.devexpress.com) UI Component APIs — right in the AI Coding Assistant/IDE of your choice. - DevHub Logo **[DevHub](https://github.com/devhub/devhub-cms-mcp)** - Manage and utilize website content within the [DevHub](https://www.devhub.com) CMS platform - DevRev Logo **[DevRev](https://github.com/devrev/mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. Sources listed [here](https://devrev.ai/docs/import#available-sources). - DexPaprika Logo **[DexPaprika (CoinPaprika)](https://github.com/coinpaprika/dexpaprika-mcp)** - Access real-time DEX data, liquidity pools, token information, and trading analytics across multiple blockchain networks with [DexPaprika](https://dexpaprika.com) by CoinPaprika. +- **[Diffusion](https://github.com/diffusiondata/diffusion-mcp-server)** - Connect to any Diffusion server to explore topics, create/update topics, manage sessions, configure features like topic views and metrics, and monitor the server. - Dolt Logo **[Dolt](https://github.com/dolthub/dolt-mcp)** - The official MCP server for version-controlled [Dolt](https://doltdb.com/) databases. - GetDot.ai Logo **[Dot (GetDot.ai)](https://docs.getdot.ai/dot/integrations/mcp)** - Fetch, analyze or visualize data from your favorite database or data warehouse (Snowflake, BigQuery, Redshift, Databricks, Clickhouse, ...) with [Dot](https://getdot.ai), your AI Data Analyst. This remote MCP server is a one-click integration for user that have setup Dot. - Drata Logo **[Drata](https://drata.com/mcp)** - Get hands-on with our experimental MCP server—bringing real-time compliance intelligence into your AI workflows. @@ -201,6 +207,7 @@ Official integrations are maintained by companies building production ready MCP - EduBase Logo **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities - Elasticsearch Logo **[Elasticsearch](https://github.com/elastic/mcp-server-elasticsearch)** - Query your data in [Elasticsearch](https://www.elastic.co/elasticsearch) - Elasticsearch Memory Logo **[Elasticsearch Memory](https://github.com/fredac100/elasticsearch-memory-mcp)** - Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via [PyPI](https://pypi.org/project/elasticsearch-memory-mcp/). +- Elastic Email Logo **[Elastic Email MCP](https://github.com/ElasticEmail/elasticemail-mcp-server)** - Elastic Email MCP Server delivers full-scale email capabilities to the next generation of AI agents and MCP-compatible environments. - Ember AI Logo **[Ember AI](https://docs.emberai.xyz/)** - A unified MCP server that enables AI agents to execute cross-chain DeFi strategies. - Endor Labs Logo **[Endor Labs](https://docs.endorlabs.com/deployment/ide/mcp/)** - Find and fix security risks in you code. Integrate [Endor Labs](https://endorlabs.com) to scan and secure your code from vulnerabilities and secret leaks. - eSignatures Logo **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts. @@ -252,6 +259,7 @@ Official integrations are maintained by companies building production ready MCP - Hologres Logo **[Hologres](https://github.com/aliyun/alibabacloud-hologres-mcp-server)** - Connect to a [Hologres](https://www.alibabacloud.com/en/product/hologres) instance, get table metadata, query and analyze data. - Homebrew Logo **[Homebrew](https://docs.brew.sh/MCP-Server)** Allows [Homebrew](https://brew.sh) users to run Homebrew commands locally. - Honeycomb Logo **[Honeycomb](https://github.com/honeycombio/honeycomb-mcp)** Allows [Honeycomb](https://www.honeycomb.io/) Enterprise customers to query and analyze their data, alerts, dashboards, and more; and cross-reference production behavior with the codebase. +- HOPX Logo **[HOPX](https://github.com/hopx-ai/mcp)** - Execute Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. Pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing. - HubSpot Logo **[HubSpot](https://developer.hubspot.com/mcp)** - Connect, manage, and interact with [HubSpot](https://www.hubspot.com/) CRM data - HuggingFace Logo **[Hugging Face](https://huggingface.co/settings/mcp)** - Connect to the Hugging Face Hub APIs programmatically: semantic search for spaces and papers, exploration of datasets and models, and access to all compatible MCP Gradio tool spaces! - Hunter Logo **[Hunter](https://github.com/hunter-io/hunter-mcp)** - Interact with the [Hunter API](https://hunter.io) to get B2B data using natural language. @@ -274,6 +282,7 @@ Official integrations are maintained by companies building production ready MCP - Kagi Logo **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API - 📅 **[Kalendis](https://github.com/kalendis-dev/kalendis-mcp)** - Generate TypeScript clients and API route handlers for the Kalendis scheduling API across multiple frameworks (Next.js, Express, Fastify, NestJS), streamlining integration of availability management and booking functionality. - Kaltura Logo **[Kaltura](https://github.com/kaltura/mcp-events)** - Manage [Kaltura Event Platform](https://corp.kaltura.com/blog/best-virtual-event-platform/#what-is-a-virtual-event-platform-0). Provide tools and resources for creating, managing, and interacting with Kaltura virtual events. +- Kash Logo **[Kash.click](https://github.com/paracetamol951/caisse-enregistreuse-mcp-server)** - Gives AI access to your sales, clients, orders, tax information, payments, and all the insights on your business - Keboola Logo **[Keboola](https://github.com/keboola/keboola-mcp-server)** - Build robust data workflows, integrations, and analytics on a single intuitive platform. - Kernel Logo **[Kernel](https://github.com/onkernel/kernel-mcp-server)** – Access Kernel's cloud‑based browsers via MCP. - Keywords Everywhere Logo **[Keywords Everywhere](https://api.keywordseverywhere.com/docs/#/mcp_integration)** – Access SEO data through the official Keywords Everywhere API MCP server. @@ -349,11 +358,13 @@ Official integrations are maintained by companies building production ready MCP - Neo4j Logo **[Neo4j GDS](https://github.com/neo4j-contrib/gds-agent)** - Neo4j graph data science server with comprehensive graph algorithms that enables complex graph reasoning and Q&A. - Neon Logo **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform - Nerve Logo **[Nerve](https://github.com/nerve-hq/nerve-mcp-server)** - Search and Act on all your company data across all your SaaS apps via [Nerve](https://www.usenerve.com/) +- NetApp Logo **[NetApp](https://github.com/NetApp/mcp)** - Query metrics, manage volumes, and search across your NetApp systems and services. - Netdata Logo **[Netdata](https://github.com/netdata/netdata/blob/master/src/web/mcp/README.md)** - Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections - Netlify Logo **[Netlify](https://docs.netlify.com/welcome/build-with-ai/netlify-mcp-server/)** - Create, build, deploy, and manage your websites with Netlify web platform. - Nile Logo **[Nile](https://github.com/niledatabase/nile-mcp-server)** - An MCP server that talks to Nile - Postgres re-engineered for B2B apps. Manage and query databases, tenants, users, auth using LLMs - Nodit Logo **[Nodit](https://github.com/noditlabs/nodit-mcp-server)** - Official Nodit MCP Server enabling access to multi-chain RPC Nodes and Data APIs for blockchain data. - Norman Logo **[Norman Finance](https://github.com/norman-finance/norman-mcp-server)** - MCP server for managing accounting and taxes with Norman Finance. +- Notifly Logo **[Notifly](https://github.com/notifly-tech/notifly-mcp-server)** - Notifly MCP Server that enables AI agents to provide real-time, trusted Notifly documentation and SDK code examples for seamless integrations. - Notion Logo **[Notion](https://github.com/makenotion/notion-mcp-server#readme)** - This project implements an MCP server for the Notion API. - Nutrient Logo **[Nutrient](https://github.com/PSPDFKit/nutrient-dws-mcp-server)** - Create, Edit, Sign, Extract Documents using Natural Language - Nx Logo **[Nx](https://github.com/nrwl/nx-console/blob/master/apps/nx-mcp)** - Makes [Nx's understanding](https://nx.dev/features/enhance-AI) of your codebase accessible to LLMs, providing insights into the codebase architecture, project relationships and runnable tasks thus allowing AI to make precise code suggestions. @@ -391,6 +402,7 @@ Official integrations are maintained by companies building production ready MCP - Perplexity Logo **[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI. - Persona Sessions Logo **[Persona Sessions](https://github.com/mattjoyce/mcp-persona-sessions)** - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations with built-in timer and evaluation. - PGA Logo **[PGA (Golf)](https://mcp.pga.com)** - PGA's official MCP Server for all things golf-related. Find a coach, play golf, improve your game, and more. +- PGYER Logo **[PGYER](https://github.com/PGYER/pgyer-mcp-server)** - MCP Server for [PGYER](https://www.pgyer.com/) platform, supports uploading, querying apps, etc. - **[Pinecone](https://github.com/pinecone-io/pinecone-mcp)** - [Pinecone](https://docs.pinecone.io/guides/operations/mcp-server)'s developer MCP Server assist developers in searching documentation and managing data within their development environment. - **[Pinecone Assistant](https://github.com/pinecone-io/assistant-mcp)** - Retrieves context from your [Pinecone Assistant](https://docs.pinecone.io/guides/assistant/mcp-server) knowledge base. - PinMeTo logo **[PinMeTo](https://github.com/PinMeTo/pinmeto-location-mcp)** - MCP server that enables users with authorized credentials to unlock their location data. @@ -399,13 +411,16 @@ Official integrations are maintained by companies building production ready MCP - PlayCanvas Logo **[PlayCanvas](https://github.com/playcanvas/editor-mcp-server)** - Create interactive 3D web apps with the PlayCanvas Editor. - Playwright Logo **[Playwright](https://github.com/microsoft/playwright-mcp)** — Browser automation MCP server using Playwright to run tests, navigate pages, capture screenshots, scrape content, and automate web interactions reliably. - Plugged.in Logo **[Plugged.in](https://github.com/VeriTeknik/pluggedin-mcp)** - A comprehensive proxy that combines multiple MCP servers into a single MCP. It provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers. +- P-Link.io Logo **[P-Link.io](https://github.com/paracetamol951/P-Link-MCP)** - HTTP 402 Protocol implementation on Solana network. Sending & receiving payments for agents - Polymarket Logo **[Polymarket](https://github.com/ozgureyilmaz/polymarket-mcp)** - Real-time prediction market data from Polymarket - search markets, analyze prices, identify trading opportunities. +- Plus AI Logo **[Plus AI](https://plusai.com/features/mcp)** - A Model Context Protocol (MCP) server for automatically generating professional PowerPoint and Google Slides presentations using the [Plus AI](https://plusai.com/) presentation API. - Port Logo **[Port IO](https://github.com/port-labs/port-mcp-server)** - Access and manage your software catalog to improve service quality and compliance. - **[PostHog](https://github.com/posthog/mcp)** - Interact with PostHog analytics, feature flags, error tracking and more with the official PostHog MCP server. - PostIdentity Logo **[PostIdentity](https://github.com/PostIdentity/mcp-server)** - Generate AI-powered social media posts from any AI assistant. Manage identities, create posts, track referrals, and browse marketplace templates, powered by [PostIdentity](https://postidentity.com). - **[Postman API](https://github.com/postmanlabs/postman-api-mcp)** - Manage your Postman resources using the [Postman API](https://www.postman.com/postman/postman-public-workspace/collection/i2uqzpp/postman-api). - Powerdrill Logo **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - An MCP server that provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights. - pre.dev Logo **[pre.dev Architect](https://docs.pre.dev/mcp-server)** - 10x your coding agent by keeping it on track with pre.dev. +- PrestaShop Logo **[PrestaShop.com](https://docs.mcp.prestashop.com/)** - Manage your PrestaShop store with AI Assistant by using the official PrestaShop MCP server. - Prisma Logo **[Prisma](https://www.prisma.io/docs/postgres/mcp-server)** - Create and manage Prisma Postgres databases - Probe.dev Logo **[Probe.dev](https://docs.probe.dev/guides/mcp-integration)** - Comprehensive media analysis and validation powered by [Probe.dev](https://probe.dev). Hosted MCP server with FFprobe, MediaInfo, and Probe Report analysis capabilities. - Prode.ai Logo **[ProdE](https://github.com/CuriousBox-AI/ProdE-mcp)** - Your 24/7 production engineer that preserves context across multiple codebases. @@ -465,12 +480,14 @@ Official integrations are maintained by companies building production ready MCP - Microsoft Learn Logo **[SQL Server](https://github.com/Azure-Samples/SQL-AI-samples/tree/main/MssqlMcp)** - Official Microsoft SQL Server MCP[1](https://devblogs.microsoft.com/azure-sql/introducing-mssql-mcp-server/) - StackHawk Logo **[StackHawk](https://github.com/stackhawk/stackhawk-mcp)** - Use [StackHawk](https://www.stackhawk.com/) to test for and FIX security problems in your code or vibe coded app. - StackOverflow Logo **[Stack Overflow](https://api.stackexchange.com/docs/mcp-server)** - Access Stack Overflow's trusted and verified technical questions and answers. +- Stardog Logo **[Stardog](https://github.com/stardog-union/stardog-cloud-mcp)** - Provide trusted, contextual answers to both humans and agents using your enterprise knowledge graph with [Stardog](https://www.stardog.com)'s Semantic AI Platform. - StarRocks Logo **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/) - Steadybit Logo **[Steadybit](https://github.com/steadybit/mcp)** - Interact with [Steadybit](https://www.steadybit.com/) - Steuerboard Logo **[Steuerboard](https://github.com/steuerboard/steuerboard-mcp-typescript)** - Interact with the accounting data in your business using our official MCP server - Storybook Logo **[Storybook](https://github.com/storybookjs/addon-mcp)** - Interact with [Storybook](https://storybook.js.org/) to automate UI component testing and documentation - Strata Logo **[Strata](https://www.klavis.ai/)** - One MCP server that guides your AI agents through thousands of tools in multiple apps progressively. It eliminates context overload and ensures accurate tool selection, enabling agents to handle complex, multi-app workflows with ease. - Stripe Logo **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API +- Success.co Logo **[Success.co](https://www.success.co/docs/guides/ai-mcp-connector)** - Interact with your Success.co account - enhance your EOS® journey and get insights on your teams and business. - Sugar Logo **[Sugar](https://github.com/cdnsteve/sugar)** - Autonomous AI development platform for Claude Code with task management, specialized agents, and workflow automation. Full MCP server bridges Claude with Python CLI for rich task context and autonomous execution. - Sunra AI Logo **[Sunra AI](https://github.com/sunra-ai/sunra-clients/tree/main/mcp-server)** - Search for and run AI models on [Sunra.ai](https://sunra.ai). Discover models, create video, image, and 3D model content, track their status, and manage the generated media. - Supabase Logo **[Supabase](https://github.com/supabase-community/supabase-mcp)** - Interact with Supabase: Create tables, query data, deploy edge functions, and more. @@ -503,6 +520,7 @@ Official integrations are maintained by companies building production ready MCP - UnifAI Logo **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network) - Unstructured Logo **[Unstructured](https://github.com/Unstructured-IO/UNS-MCP)** - Set up and interact with your unstructured data processing workflows in [Unstructured Platform](https://unstructured.io) - Upstash Logo **[Upstash](https://github.com/upstash/mcp-server)** - Manage Redis databases and run Redis commands on [Upstash](https://upstash.com/) with natural language. +- UUV Logo **[UUV](https://github.com/e2e-test-quest/uuv/tree/main/packages/mcp-server)** - Generate human readable end to end tests with [UUV](https://e2e-test-quest.github.io/uuv/). - Vaadin Logo **[Vaadin](https://github.com/marcushellberg/vaadin-documentation-services)** - Search Vaadin documentation, get the full documentation, and get version information. Designed for AI agents. - Vantage **[Vantage](https://github.com/vantage-sh/vantage-mcp-server)** - Interact with your organization's cloud cost spend. - VariFlight Logo **[VariFlight](https://github.com/variflight/variflight-mcp)** - VariFlight's official MCP server provides tools to query flight information, weather data, comfort metrics, the lowest available fares, and other civil aviation-related data. @@ -589,6 +607,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots. - **[arXiv API](https://github.com/prashalruchiranga/arxiv-mcp-server)** - An MCP server that enables interacting with the arXiv API using natural language. - **[arxiv-latex-mcp](https://github.com/takashiishida/arxiv-latex-mcp)** - MCP server that fetches and processes arXiv LaTeX sources for precise interpretation of mathematical expressions in papers. +- **[Arr Suite](https://github.com/shaktech786/arr-suite-mcp-server)** - Intelligent MCP server for Plex and the complete *arr media automation suite (Sonarr, Radarr, Prowlarr, Bazarr, Overseerr) with natural language processing for unified media management. - **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata. - **[Atlassian Server (by phuc-nt)](https://github.com/phuc-nt/mcp-atlassian-server)** - An MCP server that connects AI agents (Cline, Claude Desktop, Cursor, etc.) to Atlassian Jira & Confluence, enabling data queries and actions through the Model Context Protocol. - **[Attestable MCP](https://github.com/co-browser/attestable-mcp-server)** - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before connecting. @@ -686,6 +705,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[consult7](https://github.com/szeider/consult7)** - Analyze large codebases and document collections using high-context models via OpenRouter, OpenAI, or Google AI -- very useful, e.g., with Claude Code - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server. - **[Context Crystallizer](https://github.com/hubertciebiada/context-crystallizer)** - AI Context Engineering tool that transforms large repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization. +- **[Context Processor](https://github.com/mschultheiss83/context-processor)** - Intelligent context management with configurable pre-processing strategies (clarify, analyze, search, fetch) for enhancing content clarity, searchability, and metadata extraction. - **[context-portal](https://github.com/GreatScottyMac/context-portal)** - Context Portal (ConPort) is a memory bank database system that effectively builds a project-specific knowledge graph, capturing entities like decisions, progress, and architecture, along with their relationships. This serves as a powerful backend for Retrieval Augmented Generation (RAG), enabling AI assistants to access precise, up-to-date project information. - **[cplusplus-mcp](https://github.com/kandrwmrtn/cplusplus_mcp)** - Semantic C++ code analysis using libclang. Enables Claude to understand C++ codebases through AST parsing rather than text search - find classes, navigate inheritance, trace function calls, and explore code relationships. - **[CRASH](https://github.com/nikkoxgonzales/crash-mcp)** - MCP server for structured, iterative reasoning and thinking with flexible validation, confidence tracking, revision mechanisms, and branching support. @@ -697,6 +717,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[crypto-sentiment-mcp](https://github.com/kukapay/crypto-sentiment-mcp)** - An MCP server that delivers cryptocurrency sentiment analysis to AI agents. - **[cryptopanic-mcp-server](https://github.com/kukapay/cryptopanic-mcp-server)** - Providing latest cryptocurrency news to AI agents, powered by CryptoPanic. - **[CSV Editor](https://github.com/santoshray02/csv-editor)** - Comprehensive CSV processing with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files. Built with FastMCP & Pandas. +- **[Current Time UTC MCP Server](https://github.com/jairampatel/currenttimeutc-mcp)** - A lightweight MCP server that provides accurate UTC time and timezone conversions in real-time. - **[Cursor MCP Installer](https://github.com/matthewdcage/cursor-mcp-installer)** - A tool to easily install and configure other MCP servers within Cursor IDE, with support for npm packages, local directories, and Git repositories. - **[CV Forge](https://github.com/thechandanbhagat/cv-forge)** - An intelligent MCP (Model Context Protocol) server that analyzes job postings and crafts perfectly-matched CVs (by [Chandan Bhagat](https://me.chandanbhagat.com.np)). - **[CVE Intelligence Server](https://github.com/gnlds/mcp-cve-intelligence-server-lite)** – Provides vulnerability intelligence via multi - source CVE data, essential exploit discovery, and EPSS risk scoring through the MCP. Useful for security research, automation, and agent workflows. @@ -774,6 +795,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Excel to JSON MCP by WTSolutions](https://github.com/he-yang/excel-to-json-mcp)** - MCP Server providing a standardized interface for converting (1) Excel or CSV data into JSON format ;(2) Excel(.xlsx) file into Structured JSON. - **[Extended Memory](https://github.com/ssmirnovpro/extended-memory-mcp)** - Persistent memory across Claude conversations with multi-project support, automatic importance scoring, and tag-based organization. Production-ready with 400+ tests. - **[F1](https://github.com/AbhiJ2706/f1-mcp/tree/main)** - Access to Formula 1 data including race results, driver information, lap times, telemetry, and circuit details. +- **[Fabi](https://docs.fabi.ai/advanced_features_and_dev_tools/mcp_server)** - MCP server that exposes [Fabi](https://app.fabi.ai/) analyst agent to turn natural-language prompts into insights: navigating connected data, generating safe SQL/Python, running queries, and saving results into dashboards. - **[Fabric MCP](https://github.com/aci-labs/ms-fabric-mcp)** - Microsoft Fabric MCP server to accelerate working in your Fabric Tenant with the help of your favorite LLM models. - **[Fabric Real-Time Intelligence MCP](https://github.com/Microsoft/fabric-rti-mcp)** - Official Microsoft Fabric RTI server to accelerate working with Eventhouse, Azure Data Explorer(Kusto), Eventstreams and other RTI items using your favorite LLM models. - **[fabric-mcp-server](https://github.com/adapoet/fabric-mcp-server)** - The fabric-mcp-server is an MCP server that integrates [Fabric](https://github.com/danielmiessler/fabric) patterns with [Cline](https://cline.bot/), exposing them as tools for AI-driven task execution and enhancing Cline's capabilities. @@ -931,6 +953,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Kong Konnect](https://github.com/Kong/mcp-konnect)** - A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics. - **[Korea Stock Analyzer](https://github.com/Mrbaeksang/korea-stock-analyzer-mcp)** - Analyze Korean stocks (KOSPI/KOSDAQ) with 6 legendary investment strategies including Buffett, Lynch, Graham, Greenblatt, Fisher, and Templeton. - **[KRS Poland](https://github.com/pkolawa/krs-poland-mcp-server)** - Access to Polish National Court Register (KRS)—the government's authoritative registry of all businesses, foundations, and other legal entities. +- **[Kubeflow Spark History MCP Server](https://github.com/kubeflow/mcp-apache-spark-history-server)** - Enable AI agents to analyze Spark job performance, identify bottlenecks, and provide intelligent insights. - **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services. - **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster. - **[KubeSphere](https://github.com/kubesphere/ks-mcp-server)** - The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center. @@ -940,6 +963,8 @@ A growing set of community-developed and maintained servers demonstrates various - **[Langflow MCP Server](https://github.com/nobrainer-tech/langflow-mcp)** - Comprehensive MCP server providing 90 tools for Langflow workflow automation - manage flows, execute workflows, handle builds, and interact with knowledge bases. Includes Docker support and full API coverage for Langflow 1.6.4. - **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend. - **[Language Server](https://github.com/isaacphi/mcp-language-server)** - MCP Language Server helps MCP enabled clients navigate codebases more easily by giving them access to semantic tools like get definition, references, rename, and diagnostics. +- **[Large File MCP](https://github.com/willianpinho/large-file-mcp)** - Intelligent handling of large files with smart chunking, navigation, and streaming capabilities. Features LRU caching, regex +search, and comprehensive file analysis. - **[Lark(Feishu)](https://github.com/kone-net/mcp_server_lark)** - A Model Context Protocol(MCP) server for Lark(Feishu) sheet, message, doc and etc. - **[Lazy Toggl MCP](https://github.com/movstox/lazy-toggl-mcp)** - Simple unofficial MCP server to track time via Toggl API - **[lean-lsp-mcp](https://github.com/oOo0oOo/lean-lsp-mcp)** - Interact with the [Lean theorem prover](https://lean-lang.org/) via the Language Server Protocol. @@ -1018,6 +1043,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[MCP-OpenStack-Ops](https://github.com/call518/MCP-OpenStack-Ops)** - Professional OpenStack operations automation via MCP server. Specialized tools for cluster monitoring, instance management, volume control & network analysis. FastMCP + OpenStack SDK + Bearer auth. Claude Desktop ready. Perfect for DevOps & cloud automation. - **[MCP-PostgreSQL-Ops](https://github.com/call518/MCP-PostgreSQL-Ops)** - Model Context Protocol (MCP) server for Apache Ambari API integration. This project provides tools for managing Hadoop clusters, including service operations, configuration management, status monitoring, and request tracking. - **[mcp-proxy](https://github.com/sparfenyuk/mcp-proxy)** - Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server. +- **[mcp-proxy](https://github.com/mikluko/mcp-proxy)** - Lightweight proxy that handles OAuth 2.0/PKCE authentication and token management for MCP clients lacking native OAuth support. - **[mcp-read-website-fast](https://github.com/just-every/mcp-read-website-fast)** - Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies. - **[mcp-salesforce](https://github.com/lciesielski/mcp-salesforce-example)** - MCP server with basic demonstration of interactions with your Salesforce instance - **[mcp-sanctions](https://github.com/madupay/mcp-sanctions)** - Screen individuals and organizations against global sanctions lists (OFAC, SDN, UN, etc). Query by prompt or document upload. @@ -1042,6 +1068,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Membase](https://github.com/unibaseio/membase-mcp)** - Save and query your agent memory in distributed way by Membase. - **[Meme MCP](https://github.com/lidorshimoni/meme-mcp)** - Generate memes via AI using the Imgflip API through the Model Context Protocol. - **[memento-mcp](https://github.com/gannonh/memento-mcp)** - Knowledge graph memory system built on Neo4j with semantic search, temporal awareness. +- **[memos-api-mcp](https://github.com/MemTensor/memos-api-mcp)** - A Model Context Protocol implementation for the API service of [MemOS](https://memos.openmem.net/), a memory management operating system designed for AI applications. - **[Meta Ads Remote MCP](https://github.com/pipeboard-co/meta-ads-mcp)** - Remote MCP server to interact with Meta Ads API - access, analyze, and manage Facebook, Instagram, and other Meta platforms advertising campaigns. - **[MetaTrader MCP](https://github.com/ariadng/metatrader-mcp-server)** - Enable AI LLMs to execute trades using MetaTrader 5 platform. - **[Metricool MCP](https://github.com/metricool/mcp-metricool)** - A Model Context Protocol server that integrates with Metricool's social media analytics platform to retrieve performance metrics and schedule content across networks like Instagram, Facebook, Twitter, LinkedIn, TikTok and YouTube. @@ -1097,6 +1124,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[nomad-mcp](https://github.com/kocierik/mcp-nomad)** - A server that provides a set of tools for managing Nomad clusters through the MCP. - **[Notion](https://github.com/suekou/mcp-notion-server)** (by suekou) - Interact with Notion API. - **[Notion](https://github.com/v-3/notion-server)** (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat. +- **[Notion](https://github.com/njbrake/notion-mcp-server)** (by njbrake) - Fork of official Notion MCP Server that returns markdown representation instead of raw json for efficient token usage - **[NPM Plus](https://github.com/shacharsol/js-package-manager-mcp)** - AI-powered JavaScript package management with security scanning, bundle analysis, and intelligent dependency management for MCP-compatible editors. - **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API. - **[ntfy-mcp](https://github.com/teddyzxcv/ntfy-mcp)** (by teddyzxcv) - The MCP server that keeps you informed by sending the notification on phone using ntfy @@ -1175,6 +1203,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[PostgreSQL](https://github.com/ahmedmustahid/postgres-mcp-server)** - A PostgreSQL MCP server offering dual HTTP/Stdio transports for database schema inspection and read-only query execution with session management and Podman(or Docker) support. - **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests. - **[Powerdrill](https://github.com/powerdrillai/powerdrill-mcp)** - Interact with Powerdrill datasets, authenticated with [Powerdrill](https://powerdrill.ai) User ID and Project API Key. +- **[predictive-maintenance-mcp](https://github.com/LGDiMaggio/predictive-maintenance-mcp)** - AI-powered predictive maintenance and fault diagnosis. Features vibration analysis, bearing diagnostics, ISO 20816-3. compliance, and ML anomaly detection for industrial machinery. - **[Prefect](https://github.com/allen-munsch/mcp-prefect)** - MCP Server for workflow orchestration and ELT/ETL with Prefect Server, and Prefect Cloud [https://www.prefect.io/] using the `prefect` python client. - **[Producer Pal](https://github.com/adamjmurray/producer-pal)** - MCP server for controlling Ableton Live, embedded in a Max for Live device for easy drag and drop installation. - **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP. @@ -1213,6 +1242,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval. - **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images. - **[Resend](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/resend)** - Send email using Resend services +- **[Restream](https://github.com/shaktech786/restream-mcp-server)** - Model Context Protocol server for Restream API integration - manage multi-platform live streams, control channels, and access streaming analytics. - **[Revit MCP](https://github.com/revit-mcp)** - A service implementing the MCP protocol for Autodesk Revit. - **[Rijksmuseum](https://github.com/r-huijts/rijksmuseum-mcp)** - Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections. - **[Riot Games](https://github.com/jifrozen0110/mcp-riot)** - MCP server for League of Legends – fetch player info, ranks, champion stats, and match history via Riot API. @@ -1375,9 +1405,11 @@ A growing set of community-developed and maintained servers demonstrates various - **[Webex](https://github.com/Kashyap-AI-ML-Solutions/webex-messaging-mcp-server)** - A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities. - **[Webflow](https://github.com/kapilduraphe/webflow-mcp-server)** - Interact with the Webflow APIs - **[webhook-mcp](https://github.com/noobnooc/webhook-mcp)** (by Nooc) - A Model Context Protocol (MCP) server that sends webhook notifications when called. +- **[Wekan](https://github.com/namar0x0309/wekan-mcp)** - Unofficial MCP server for Wekan, providing all rest api functionality to add, edit, delete tasks and boards. - **[whale-tracker-mcp](https://github.com/kukapay/whale-tracker-mcp)** - A mcp server for tracking cryptocurrency whale transactions. - **[WhatsApp MCP Server](https://github.com/lharries/whatsapp-mcp)** - MCP server for your personal WhatsApp handling individuals, groups, searching and sending. - **[Whois MCP](https://github.com/bharathvaj-ganesan/whois-mcp)** - MCP server that performs whois lookup against domain, IP, ASN and TLD. +- **[Withings](https://github.com/akutishevsky/withings-mcp)** - Access and analyze Withings health data including sleep analysis, body measurements, workouts, ECG recordings, and fitness goals through natural conversation. - **[Wikidata MCP](https://github.com/zzaebok/mcp-wikidata)** - Wikidata MCP server that interact with Wikidata, by searching identifiers, extracting metadata, and executing sparql query. - **[Wikidata SPARQL](https://github.com/QuentinCody/wikidata-sparql-mcp-server)** - Unofficial REMOTE MCP server for Wikidata's SPARQL endpoint, providing access to structured knowledge data, entity relationships, and semantic queries for research and data analysis. - **[Wikifunctions](https://github.com/Fredibau/wikifunctions-mcp-fredibau)** - Allowing AI models to discover and execute functions from the WikiFunctions library. @@ -1456,7 +1488,7 @@ These are high-level frameworks that make it easier to build MCP servers or clie * **[MCP CLI Client](https://github.com/vincent-pli/mcp-cli-host)** - A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). * **[OpenMCP Client](https://github.com/LSTM-Kirigaya/openmcp-client/)** - An all-in-one vscode/trae/cursor plugin for MCP server debugging. [Document](https://kirigaya.cn/openmcp/) & [OpenMCP SDK](https://kirigaya.cn/openmcp/sdk-tutorial/). * **[PHP MCP Client](https://github.com/php-mcp/client)** - Core PHP implementation for the Model Context Protocol (MCP) Client - +* **[Runbear](https://runbear.io/solutions/integrations/slack/mcp)** - No-code MCP client for team chat platforms, such as Slack, Microsoft Teams, and Discord. ## 📚 Resources @@ -1511,6 +1543,9 @@ Additional resources on MCP. - **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)** - **[ToolHive](https://github.com/StacklokLabs/toolhive)** - A lightweight utility designed to simplify the deployment and management of MCP servers, ensuring ease of use, consistency, and security through containerization by **[StacklokLabs](https://github.com/StacklokLabs)** - **[NetMind](https://www.netmind.ai/AIServices)** - Access powerful AI services via simple APIs or MCP servers to supercharge your productivity. +- **[Webrix MCP Gateway](https://github.com/webrix-ai/secure-mcp-gateway)** - Enterprise MCP gateway with SSO, RBAC, audit trails, and token vaults for secure, centralized AI agent access control. Deploy via Helm charts on-premise or in your cloud. [webrix.ai](https://webrix.ai) + + ## 🚀 Getting Started diff --git a/src/everything/README.md b/src/everything/README.md index 696a77e9f9..35274f617b 100644 --- a/src/everything/README.md +++ b/src/everything/README.md @@ -196,7 +196,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman **Method 2: Workspace Configuration** Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. -> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp). +> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). #### NPX diff --git a/src/everything/stdio.ts b/src/everything/stdio.ts index e443a983b6..102af4f104 100644 --- a/src/everything/stdio.ts +++ b/src/everything/stdio.ts @@ -9,14 +9,18 @@ async function main() { const transport = new StdioServerTransport(); const {server, cleanup, startNotificationIntervals} = createServer(); + // Cleanup when client disconnects + server.onclose = async () => { + await cleanup(); + process.exit(0); + }; + await server.connect(transport); startNotificationIntervals(); // Cleanup on exit process.on("SIGINT", async () => { - await cleanup(); - await server.close(); - process.exit(0); + await server.close(); }); } diff --git a/src/fetch/Dockerfile b/src/fetch/Dockerfile index 7e8824c471..e81610cb7f 100644 --- a/src/fetch/Dockerfile +++ b/src/fetch/Dockerfile @@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=uv.lock,target=uv.lock \ --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - uv sync --frozen --no-install-project --no-dev --no-editable + uv sync --locked --no-install-project --no-dev --no-editable # Then, add the rest of the project source code and install it # Installing separately from its dependencies allows optimal layer caching ADD . /app RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev --no-editable + uv sync --locked --no-dev --no-editable FROM python:3.12-slim-bookworm diff --git a/src/fetch/uv.lock b/src/fetch/uv.lock index 219214ff7e..0b6ce01c18 100644 --- a/src/fetch/uv.lock +++ b/src/fetch/uv.lock @@ -1,13 +1,14 @@ version = 1 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b/src/filesystem/README.md index 91d217af2b..e9ddc2b1e2 100644 --- a/src/filesystem/README.md +++ b/src/filesystem/README.md @@ -266,7 +266,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman **Method 2: Workspace Configuration** Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. -> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp). +> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). You can provide sandboxed directories to the server by mounting them to `/projects`. Adding the `ro` flag will make the directory readonly by the server. diff --git a/src/git/Dockerfile b/src/git/Dockerfile index 67e024d89c..6b53886aa3 100644 --- a/src/git/Dockerfile +++ b/src/git/Dockerfile @@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=uv.lock,target=uv.lock \ --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - uv sync --frozen --no-install-project --no-dev --no-editable + uv sync --locked --no-install-project --no-dev --no-editable # Then, add the rest of the project source code and install it # Installing separately from its dependencies allows optimal layer caching ADD . /app RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev --no-editable + uv sync --locked --no-dev --no-editable FROM python:3.12-slim-bookworm diff --git a/src/git/README.md b/src/git/README.md index a922fdecc1..43094a061e 100644 --- a/src/git/README.md +++ b/src/git/README.md @@ -178,7 +178,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman **Method 2: Workspace Configuration** Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. -> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp). +> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). ```json { diff --git a/src/git/pyproject.toml b/src/git/pyproject.toml index 1869135c60..35ecbec80b 100644 --- a/src/git/pyproject.toml +++ b/src/git/pyproject.toml @@ -17,7 +17,7 @@ classifiers = [ ] dependencies = [ "click>=8.1.7", - "gitpython>=3.1.43", + "gitpython>=3.1.45", "mcp>=1.0.0", "pydantic>=2.0.0", ] @@ -29,8 +29,8 @@ mcp-server-git = "mcp_server_git:main" requires = ["hatchling"] build-backend = "hatchling.build" -[tool.uv] -dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3", "pytest>=8.0.0"] +[dependency-groups] +dev = ["pyright>=1.1.407", "ruff>=0.7.3", "pytest>=8.0.0"] [tool.pytest.ini_options] testpaths = ["tests"] diff --git a/src/git/src/mcp_server_git/server.py b/src/git/src/mcp_server_git/server.py index 9950da66ea..1968ded2f5 100644 --- a/src/git/src/mcp_server_git/server.py +++ b/src/git/src/mcp_server_git/server.py @@ -142,9 +142,9 @@ def git_log(repo: git.Repo, max_count: int = 10, start_timestamp: Optional[str] if end_timestamp: args.extend(['--until', end_timestamp]) args.extend(['--format=%H%n%an%n%ad%n%s%n']) - + log_output = repo.git.log(*args).split('\n') - + log = [] # Process commits in groups of 4 (hash, author, date, message) for i in range(0, len(log_output), 4): @@ -199,7 +199,12 @@ def git_show(repo: git.Repo, revision: str) -> str: diff = commit.diff(git.NULL_TREE, create_patch=True) for d in diff: output.append(f"\n--- {d.a_path}\n+++ {d.b_path}\n") - output.append(d.diff.decode('utf-8')) + if d.diff is None: + continue + if isinstance(d.diff, bytes): + output.append(d.diff.decode('utf-8')) + else: + output.append(d.diff) return "".join(output) def git_branch(repo: git.Repo, branch_type: str, contains: str | None = None, not_contains: str | None = None) -> str: @@ -343,7 +348,7 @@ def by_commandline() -> Sequence[str]: @server.call_tool() async def call_tool(name: str, arguments: dict) -> list[TextContent]: repo_path = Path(arguments["repo_path"]) - + # For all commands, we need an existing repo repo = git.Repo(repo_path) @@ -400,7 +405,7 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]: # Update the LOG case: case GitTools.LOG: log = git_log( - repo, + repo, arguments.get("max_count", 10), arguments.get("start_timestamp"), arguments.get("end_timestamp") @@ -409,7 +414,7 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]: type="text", text="Commit history:\n" + "\n".join(log) )] - + case GitTools.CREATE_BRANCH: result = git_create_branch( repo, @@ -446,7 +451,7 @@ async def call_tool(name: str, arguments: dict) -> list[TextContent]: type="text", text=result )] - + case _: raise ValueError(f"Unknown tool: {name}") diff --git a/src/git/tests/test_server.py b/src/git/tests/test_server.py index 5949fd68d2..a7b4f88613 100644 --- a/src/git/tests/test_server.py +++ b/src/git/tests/test_server.py @@ -1,7 +1,20 @@ import pytest from pathlib import Path import git -from mcp_server_git.server import git_checkout, git_branch, git_add, git_status +from mcp_server_git.server import ( + git_checkout, + git_branch, + git_add, + git_status, + git_diff_unstaged, + git_diff_staged, + git_diff, + git_commit, + git_reset, + git_log, + git_create_branch, + git_show +) import shutil @pytest.fixture @@ -35,8 +48,6 @@ def test_git_branch_local(test_repository): assert "new-branch-local" in result def test_git_branch_remote(test_repository): - # GitPython does not easily support creating remote branches without a remote. - # This test will check the behavior when 'remote' is specified without actual remotes. result = git_branch(test_repository, "remote") assert "" == result.strip() # Should be empty if no remote branches @@ -46,28 +57,32 @@ def test_git_branch_all(test_repository): assert "new-branch-all" in result def test_git_branch_contains(test_repository): + # Get the default branch name (could be "main" or "master") + default_branch = test_repository.active_branch.name # Create a new branch and commit to it test_repository.git.checkout("-b", "feature-branch") Path(test_repository.working_dir / Path("feature.txt")).write_text("feature content") test_repository.index.add(["feature.txt"]) commit = test_repository.index.commit("feature commit") - test_repository.git.checkout("master") + test_repository.git.checkout(default_branch) result = git_branch(test_repository, "local", contains=commit.hexsha) assert "feature-branch" in result - assert "master" not in result + assert default_branch not in result def test_git_branch_not_contains(test_repository): + # Get the default branch name (could be "main" or "master") + default_branch = test_repository.active_branch.name # Create a new branch and commit to it test_repository.git.checkout("-b", "another-feature-branch") Path(test_repository.working_dir / Path("another_feature.txt")).write_text("another feature content") test_repository.index.add(["another_feature.txt"]) commit = test_repository.index.commit("another feature commit") - test_repository.git.checkout("master") + test_repository.git.checkout(default_branch) result = git_branch(test_repository, "local", not_contains=commit.hexsha) assert "another-feature-branch" not in result - assert "master" in result + assert default_branch in result def test_git_add_all_files(test_repository): file_path = Path(test_repository.working_dir) / "all_file.txt" @@ -97,3 +112,137 @@ def test_git_status(test_repository): assert result is not None assert "On branch" in result or "branch" in result.lower() + +def test_git_diff_unstaged(test_repository): + file_path = Path(test_repository.working_dir) / "test.txt" + file_path.write_text("modified content") + + result = git_diff_unstaged(test_repository) + + assert "test.txt" in result + assert "modified content" in result + +def test_git_diff_unstaged_empty(test_repository): + result = git_diff_unstaged(test_repository) + + assert result == "" + +def test_git_diff_staged(test_repository): + file_path = Path(test_repository.working_dir) / "staged_file.txt" + file_path.write_text("staged content") + test_repository.index.add(["staged_file.txt"]) + + result = git_diff_staged(test_repository) + + assert "staged_file.txt" in result + assert "staged content" in result + +def test_git_diff_staged_empty(test_repository): + result = git_diff_staged(test_repository) + + assert result == "" + +def test_git_diff(test_repository): + test_repository.git.checkout("-b", "feature-diff") + file_path = Path(test_repository.working_dir) / "test.txt" + file_path.write_text("feature changes") + test_repository.index.add(["test.txt"]) + test_repository.index.commit("feature commit") + + result = git_diff(test_repository, "master") + + assert "test.txt" in result + assert "feature changes" in result + +def test_git_commit(test_repository): + file_path = Path(test_repository.working_dir) / "commit_test.txt" + file_path.write_text("content to commit") + test_repository.index.add(["commit_test.txt"]) + + result = git_commit(test_repository, "test commit message") + + assert "Changes committed successfully with hash" in result + + latest_commit = test_repository.head.commit + assert latest_commit.message.strip() == "test commit message" + +def test_git_reset(test_repository): + file_path = Path(test_repository.working_dir) / "reset_test.txt" + file_path.write_text("content to reset") + test_repository.index.add(["reset_test.txt"]) + + staged_before = [item.a_path for item in test_repository.index.diff("HEAD")] + assert "reset_test.txt" in staged_before + + result = git_reset(test_repository) + + assert result == "All staged changes reset" + + staged_after = [item.a_path for item in test_repository.index.diff("HEAD")] + assert "reset_test.txt" not in staged_after + +def test_git_log(test_repository): + for i in range(3): + file_path = Path(test_repository.working_dir) / f"log_test_{i}.txt" + file_path.write_text(f"content {i}") + test_repository.index.add([f"log_test_{i}.txt"]) + test_repository.index.commit(f"commit {i}") + + result = git_log(test_repository, max_count=2) + + assert isinstance(result, list) + assert len(result) == 2 + assert "Commit:" in result[0] + assert "Author:" in result[0] + assert "Date:" in result[0] + assert "Message:" in result[0] + +def test_git_log_default(test_repository): + result = git_log(test_repository) + + assert isinstance(result, list) + assert len(result) >= 1 + assert "initial commit" in result[0] + +def test_git_create_branch(test_repository): + result = git_create_branch(test_repository, "new-feature-branch") + + assert "Created branch 'new-feature-branch'" in result + + branches = [ref.name for ref in test_repository.references] + assert "new-feature-branch" in branches + +def test_git_create_branch_from_base(test_repository): + test_repository.git.checkout("-b", "base-branch") + file_path = Path(test_repository.working_dir) / "base.txt" + file_path.write_text("base content") + test_repository.index.add(["base.txt"]) + test_repository.index.commit("base commit") + + result = git_create_branch(test_repository, "derived-branch", "base-branch") + + assert "Created branch 'derived-branch' from 'base-branch'" in result + +def test_git_show(test_repository): + file_path = Path(test_repository.working_dir) / "show_test.txt" + file_path.write_text("show content") + test_repository.index.add(["show_test.txt"]) + test_repository.index.commit("show test commit") + + commit_sha = test_repository.head.commit.hexsha + + result = git_show(test_repository, commit_sha) + + assert "Commit:" in result + assert "Author:" in result + assert "show test 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Open the Comman **Method 2: Workspace Configuration** Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. -> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp). +> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). #### NPX diff --git a/src/sequentialthinking/README.md b/src/sequentialthinking/README.md index c3886a9b44..322ded2726 100644 --- a/src/sequentialthinking/README.md +++ b/src/sequentialthinking/README.md @@ -96,7 +96,7 @@ Add the configuration to your user-level MCP configuration file. Open the Comman **Method 2: Workspace Configuration** Alternatively, you can add the configuration to a file called `.vscode/mcp.json` in your workspace. This will allow you to share the configuration with others. -> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/mcp). +> For more details about MCP configuration in VS Code, see the [official VS Code MCP documentation](https://code.visualstudio.com/docs/copilot/customization/mcp-servers). For NPX installation: @@ -132,6 +132,16 @@ For Docker installation: } ``` +### Usage with Codex CLI + +Run the following: + +#### npx + +```bash +codex mcp add sequential-thinking npx -y @modelcontextprotocol/server-sequential-thinking +``` + ## Building Docker: diff --git a/src/sequentialthinking/index.ts b/src/sequentialthinking/index.ts index 44af5c0e9d..809086a94c 100644 --- a/src/sequentialthinking/index.ts +++ b/src/sequentialthinking/index.ts @@ -69,7 +69,7 @@ You should: 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output -11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached`, +11. Only set nextThoughtNeeded to false when truly done and a satisfactory answer is reached`, inputSchema: { thought: z.string().describe("Your current thinking step"), nextThoughtNeeded: z.boolean().describe("Whether another thought step is needed"), diff --git a/src/time/Dockerfile b/src/time/Dockerfile index 9a1ed2afb8..ac5f752ee5 100644 --- a/src/time/Dockerfile +++ b/src/time/Dockerfile @@ -14,13 +14,13 @@ ENV UV_LINK_MODE=copy RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=uv.lock,target=uv.lock \ --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ - uv sync --frozen --no-install-project --no-dev --no-editable + uv sync --locked --no-install-project --no-dev --no-editable # Then, add the rest of the project source code and install it # Installing separately from its dependencies allows optimal layer caching ADD . /app RUN --mount=type=cache,target=/root/.cache/uv \ - uv sync --frozen --no-dev --no-editable + uv sync --locked --no-dev --no-editable FROM python:3.12-slim-bookworm