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Add LucasGorgal/localfig
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@@ -1497,6 +1497,7 @@ Tools and integrations that enhance the development workflow and environment man
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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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- [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.
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- [LucasGorgal/localfig](https://github.com/LucasGorgal/localfig) 📇 🏠 🍎 🪟 - The Figma desktop app as an MCP server. Gives AI agents the full Plugin API on the open file, returns renders inline, reads design tokens, makes each call one undo step, and registers itself with every MCP client it finds. No cloud API, token or quota.
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- [LumabyteCo/clarifyprompt-mcp](https://github.com/LumabyteCo/clarifyprompt-mcp) [](https://glama.ai/mcp/servers/LumabyteCo/clarifyprompt-mcp) 📇 ☁️ 🍎 🪟 🐧 - MCP server for AI prompt optimization — transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories (image, video, voice, music, code, chat, document).
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- [Luqueee/kivgraph](https://github.com/Luqueee/kivgraph) [](https://glama.ai/mcp/servers/Luqueee/kivgraph) 🏎️ 🏠 🍎 🐧 - Local open-source code graph MCP for coding agents. Find code by intent, follow analyzer-resolved callers/references, inspect blast radius, and trace dependencies across multiple repositories. Supports Go, TypeScript, Rust, Python and Dart.
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- [madhan-g-p/DevDocs-MCP](https://github.com/madhan-g-p/DevDocs-MCP) 📇 🏠 🍎 🐧 - DevDocs-MCP is a MCP server that provides version-pinned, deterministic documentation sourced from [DevDocs.io](https://devdocs.io) in offline mode
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