[pull] main from modelcontextprotocol:main

README.md

@@ -220,6 +220,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[DaVinci Resolve](https://github.com/samuelgursky/davinci-resolve-mcp)** - MCP server integration for DaVinci Resolve providing powerful tools for video editing, color grading, media management, and project control.
 - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
 - **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.
+- **[Deebo](https://github.com/snagasuri/deebo-prototype)** – Agentic debugging MCP server that helps AI coding agents delegate and fix hard bugs through isolated multi-agent hypothesis testing.
 - **[Deep Research](https://github.com/reading-plus-ai/mcp-server-deep-research)** - Lightweight MCP server offering Grok/OpenAI/Gemini/Perplexity-style automated deep research exploration and structured reporting.
 - **[DeepSeek MCP Server](https://github.com/DMontgomery40/deepseek-mcp-server)** - Model Context Protocol server integrating DeepSeek's advanced language models, in addition to [other useful API endpoints](https://github.com/DMontgomery40/deepseek-mcp-server?tab=readme-ov-file#features)
 - **[Deepseek_R1](https://github.com/66julienmartin/MCP-server-Deepseek_R1)** - A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
@@ -305,6 +306,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[LlamaCloud](https://github.com/run-llama/mcp-server-llamacloud)** (by marcusschiesser) - Integrate the data stored in a managed index on [LlamaCloud](https://cloud.llamaindex.ai/)
 - **[llm-context](https://github.com/cyberchitta/llm-context.py)** - Provides a repo-packing MCP tool with configurable profiles that specify file inclusion/exclusion patterns and optional prompts.
 - **[mac-messages-mcp](https://github.com/carterlasalle/mac_messages_mcp)** - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
+- **[MalwareBazaar_MCP](https://github.com/mytechnotalent/MalwareBazaar_MCP)** (by Kevin Thomas) - An AI-driven MCP server that autonomously interfaces with MalwareBazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
 - **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python.
 - **[Markdown2doc](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/pandoc)** - Convert between various file formats using Pandoc
 - **[Markitdown](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/markitdown)** - Convert files to Markdown
@@ -315,6 +317,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
 - **[mcp-local-rag](https://github.com/nkapila6/mcp-local-rag)** - "primitive" RAG-like web search model context protocol (MCP) server that runs locally using Google's MediaPipe Text Embedder and DuckDuckGo Search. ✨ no APIs required ✨.
 - **[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 Server](https://github.com/TBXark/mcp-proxy)** - An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.
 - **[mem0-mcp](https://github.com/mem0ai/mem0-mcp)** - A Model Context Protocol server for Mem0, which helps with managing coding preferences.
 - **[Membase](https://github.com/unibaseio/membase-mcp)** - Save and query your agent memory in distributed way by Membase.
 - **[MetaTrader MCP](https://github.com/ariadng/metatrader-mcp-server)** - Enable AI LLMs to execute trades using MetaTrader 5 platform.