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@@ -1336,6 +1336,7 @@ Tools and integrations that enhance the development workflow and environment man
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- [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.
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- [linw1995/nvim-mcp](https://github.com/linw1995/nvim-mcp) 🦀 🏠 🍎 🪟 🐧 - A MCP server to interact with Neovim
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- [jarvisassistantux/loopsense](https://github.com/jarvisassistantux/loopsense) [](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.
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- [logisky/logisheets-mcp](https://github.com/logisky/logisheets-mcp) [](https://glama.ai/mcp/servers/logisky/logisheets-mcp) 🎖️ 📇 🏠 🍎 🪟 🐧 - A real Excel-compatible spreadsheet engine for agents, over [LogiSheets](https://github.com/logisky/LogiSheets) (Rust, via WASM). Deterministic formulas the model does not compute in its head, named blocks addressed by (block, key, field) instead of coordinates so references survive inserted rows, whole-column field rules, batch scenario scans and goal-seek in a single call, and a genuine `.xlsx` at the end. Runs locally and opens no sockets. `npx logisheets-mcp`.
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- [lorenzo-cambiaghi/LynxMCP](https://github.com/lorenzo-cambiaghi/LynxMCP) [](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`.
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- [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.
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- [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.
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