MCPs tagged with context extraction
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Gitingest-MCP
An MCP server for extracting GitHub repository summaries, structure, and file content.
Gitingest-MCP serves as a Model Context Protocol (MCP) server compatible with context-aware AI tools. It enables MCP clients such as Claude Desktop, Cline, Cursor, and others to quickly and efficiently extract key information from GitHub repositories, including summaries, the directory tree, and individual file contents. It supports installation via Smithery or manual configuration and is designed for seamless integration into the MCP client ecosystem. Documentation provides guidance on installation, configuration, and debugging.
- ⭐ 131
- MCP
- puravparab/Gitingest-MCP
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AI Distiller (aid)
Efficient codebase summarization and context extraction for AI code generation.
AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.
- ⭐ 106
- MCP
- janreges/ai-distiller