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Merge pull request #7898 from lorenzo-cambiaghi/add-lynxmcp

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Add LynxMCP (local semantic code search)
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Frank Fiegel
2026-07-28 23:13:39 -04:00
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@@ -1257,6 +1257,7 @@ Tools and integrations that enhance the development workflow and environment man
- [linuxsuren/atest-mcp-server](https://github.com/LinuxSuRen/atest-mcp-server) 📇 🏠 🐧 - An MCP server to manage test suites and cases, which is an alternative to Postman.
- [linw1995/nvim-mcp](https://github.com/linw1995/nvim-mcp) 🦀 🏠 🍎 🪟 🐧 - A MCP server to interact with Neovim
- [jarvisassistantux/loopsense](https://github.com/jarvisassistantux/loopsense) [![jarvisassistantux/loopsense MCP server](https://glama.ai/mcp/servers/jarvisassistantux/loopsense/badges/score.svg)](https://glama.ai/mcp/servers/jarvisassistantux/loopsense) 📇 🏠 - MCP server that closes the feedback loop for AI coding agents — CI monitoring, process watching, file changes, HTTP polling.
- [lorenzo-cambiaghi/LynxMCP](https://github.com/lorenzo-cambiaghi/LynxMCP) [![lorenzo-cambiaghi/LynxMCP MCP server](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP/badges/score.svg)](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP) 🐍 🏠 🍎 🪟 🐧 - 100% local semantic code search for AI agents: AST-aware chunking (tree-sitter), hybrid BM25+dense retrieval, and a code knowledge graph (callers, inheritance, imports) over codebases, docs sites, and PDFs. Install via `pipx install lynx-mcp`.
- [louis030195/gptzero-mcp](https://github.com/louis030195/gptzero-mcp) 📇 ☁️ 🍎 🪟 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability breakdowns.
- [lpigeon/ros-mcp-server](https://github.com/lpigeon/ros-mcp-server) 🐍 🏠 🍎 🪟 🐧 - The ROS MCP Server supports robot control by converting user-issued natural language commands into ROS or ROS2 control commands.
- [lpigeon/unitree-go2-mcp-server](https://github.com/lpigeon/unitree-go2-mcp-server) 🐍 🏠 🐧 - The Unitree Go2 MCP Server is a server built on the MCP that enables users to control the Unitree Go2 robot using natural language commands interpreted by a LLM.