MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
Provides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.
A self-hosted MCP server that provides up-to-date documentation for enterprise and development tools directly to AI coding assistants like Claude Code and Cursor.
A local RAG-powered documentation search system that uses vector embeddings and Qdrant to enable semantic search across markdown, HTML, and other file formats. It provides an MCP interface for AI tools like Cursor to intelligently query and retrieve information from local knowledge bases.
An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.
Local-first knowledge base MCP server. Lets AI agents (Claude Code, Cursor, etc.) read and write your personal knowledge base through 20 MCP tools. Zero cloud dependency — all files stay on your machine.
