Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
Gitingest-MCP is a Model Context Protocol server built on top of gitingest, a tool that flattens a Git repository into text suitable for a language model. The server gives MCP clients such as Claude Desktop, Cline and Cursor a way to extract information about a GitHub repository without cloning it by hand or pasting files into a chat. Three kinds of output are covered: a summary of the repository, its project directory structure, and the contents of files inside it, so an assistant can orient itself in an unfamiliar codebase and then read only the parts that matter. The project is written in Python and managed with uv. Several installation paths are documented. The Smithery command line installer can register the server for Claude, Cursor, Windsurf or Cline with a single npx command. Alternatively the MCP client configuration file can invoke uvx directly against the GitHub repository, which fetches and runs the package without a local checkout. For local development the repository is cloned, dependencies are installed with uv sync, and the client configuration points uv run at the server entry point in src/gitingest_mcp/server.py with the mcp CLI extra and an editable install of the package. The README shows where the Claude Desktop configuration file lives on macOS and how to open it, and points to the official MCP quickstart when a client fails to connect. For debugging it recommends the MCP Inspector, launched through uv run mcp dev against the same server file, which exposes the tool list and lets calls be issued manually. The repository carries a Smithery badge and a Glama server listing. It is aimed at developers who want repository context available to an assistant during code exploration and review.
https://github.com/puravparab/Gitingest-MCP
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
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