From 208e76464801812d0be0ed9323e25197bc87278a Mon Sep 17 00:00:00 2001 From: Josh Free Date: Fri, 12 Sep 2025 14:22:18 -0700 Subject: [PATCH 1/2] Update Azure MCP link in README.md (#2705) * Update Azure MCP link in README.md Azure MCP Server moved from /azure/azure-mcp to /microsoft/mcp on 2025-08-25. The old /azure/azure-mcp repo has been archived as all new development continues in the new /microsoft/mcp monorepo. * Update path to Azure MCP src --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4683e59f6d..dce42f2947 100644 --- a/README.md +++ b/README.md @@ -98,7 +98,7 @@ Official integrations are maintained by companies building production ready MCP - Authenticator App Logo **[Authenticator App ยท 2FA](https://github.com/firstorderai/authenticator_mcp)** - A secure MCP (Model Context Protocol) server that enables AI agents to interact with the Authenticator App. - AWS Logo **[AWS](https://github.com/awslabs/mcp)** - Specialized MCP servers that bring AWS best practices directly to your development workflow. - Axiom Logo **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language -- Microsoft Azure Logo **[Azure](https://github.com/Azure/azure-mcp)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more. +- Microsoft Azure Logo **[Azure](https://github.com/microsoft/mcp/tree/main/servers/Azure.Mcp.Server)** - The Azure MCP Server gives MCP Clients access to key Azure services and tools like Azure Storage, Cosmos DB, the Azure CLI, and more. - Microsoft Azure DevOps Logo **[Azure DevOps](https://github.com/microsoft/azure-devops-mcp)** - Interact with Azure DevOps services like repositories, work items, builds, releases, test plans, and code search. - Baidu Map Logo **[Baidu Map](https://github.com/baidu-maps/mcp)** - [Baidu Map MCP Server](https://lbsyun.baidu.com/faq/api?title=mcpserver/base) provides tools for AI agents to interact with Baidu Maps APIs, enabling location-based services and geospatial data analysis. - Bankless Logo **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state. From bf293463200a74ff6724fb14a7f3954aed74de96 Mon Sep 17 00:00:00 2001 From: danohn <82357071+danohn@users.noreply.github.com> Date: Sat, 13 Sep 2025 06:25:42 +0900 Subject: [PATCH 2/2] Add mcpcap to README.md (#2701) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index dce42f2947..caf9f309cc 100644 --- a/README.md +++ b/README.md @@ -870,6 +870,7 @@ A growing set of community-developed and maintained servers demonstrates various - **[Maton](https://github.com/maton-ai/agent-toolkit/tree/main/modelcontextprotocol)** - Connect to your SaaS tools like HubSpot, Salesforce, and more. - **[Maven Tools MCP](https://github.com/arvindand/maven-tools-mcp)** - Maven Central dependency intelligence for JVM build tools. Supports all build tools (Maven, Gradle, SBT, Mill) with Context7 integration for documentation support. - **[MCP-Airflow-API](https://github.com/call518/MCP-Airflow-API)** - Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking. +- **[mcpcap](https://github.com/mcpcap/mcpcap)** - A modular Python MCP (Model Context Protocol) Server for analyzing PCAP files. - **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs - **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly. - **[MCP Documentation Server](https://github.com/andrea9293/mcp-documentation-server)** - Server that provides local-first document management and semantic search via embeddings or Gemini AI (recommended). Optimized for performance with disk persistence, an in-memory index, and caching.