Local MCP server that indexes documentation from URLs/files into a vector database, enabling coding agents to search and use up-to-date library and API documentation.
Enables users to ingest documentation from URLs or sitemaps, embed it into a searchable vector index, and expose authenticated MCP tools so AI clients can search and retrieve documentation content directly.
A documentation MCP server that crawls websites and Git repositories, stores them as Markdown, and provides tools to search and retrieve documentation for local LLMs and AI agents.
Indexes documentation sites by base URL and serves keyword search, optional semantic search, and Markdown page retrieval as MCP tools, all from a single SQLite file.