MCP Documentation Server connects AI assistants to uploaded documentation through document management, smart chunking, and AI-powered semantic search. It is intended for developers working with new frameworks, API references, and internal guides.
In the Frameworks & runtimes space, MCP Documentation Server takes a focused approach. It focuses on helping AI assistants access, search, and understand framework, API, and internal documentation. It is built as an open-source project for developers building MCP-enabled AI assistants. MCP Documentation Server is available on the web, the command line, and API, and it can be self-hosted.
It is developed by andrea9293. Among its 7 catalogued features are Document Management, File Uploads, and Semantic Search. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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