Maintenance of a set of tools to enhance LLM through MCP protocols.
Listed on its own since 2026-09-24. Until then it was part of iflow-mcp-ai-zerolab-mcp-toolbox, where its earlier checks remain.
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# mcp-toolbox [](https://img.shields.io/github/v/release/ai-zerolab/mcp-toolbox) [](https://github.com/ai-zerolab/mcp-toolbox/actions/workflows/main.yml?query=branch%3Amain) [](https://codecov.io/gh/ai-zerolab/mcp-toolbox) [](https://img.shields.io/github/commit-activity/m/ai-zerolab/mcp-toolbox) [](https://img.shields.io/github/license/ai-zerolab/mcp-toolbox) A comprehensive toolkit for enhancing LLM capabilities through the Model Context Protocol (MCP). This package provides a collection of tools that allow LLMs to interact with external services and APIs, extending their functionality beyond text generation. - **GitHub repository**: <https://github.com/ai-zerolab/mcp-toolbox/> - (WIP)**Documentation**: <https://ai-zerolab.github.io/mcp-toolbox/> ## Features > \*nix is our main target, but Windows should work too. - **Command Line Execution**: Execute any command line instruction through LLM - **Figma Integration**: Access Figma files, components, styles, and more - **Extensible Architecture**: Easily add new API integrations - **MCP Protocol Support**: Compatible with Claude Desktop and other MCP-enabled LLMs - **Comprehensive Testing**: Well-tested codebase with high test coverage ## Installation ### Using uv (Recommended) We recommend using [uv](https://github.com/astral-sh/uv) to manage your environment. ```bash # Install uv curl -LsSf https://astral.sh/uv/install.sh | sh # For macOS/Linux # or powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # For Windows ``` Then you can use `uvx "mcp-…
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