docs-mcp-server

docs-mcp-server

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Docs MCP Server provides AI with a reliable and current knowledge base for coding by indexing official documentation. Its standout features include version-aware search and seamless integration into existing AI workflows, all while maintaining user privacy by running locally.

What is semantic chunking?

Semantic chunking splits documentation into meaningful sections based on structure, preserving logical boundaries and ensuring LLMs receive coherent, context-rich information.

How does Docs MCP Server improve AI coding assistants?

By providing up-to-date, version-specific documentation, it reduces AI hallucinations and improves the accuracy of generated code.

Can Docs MCP Server run locally?

Yes, it runs entirely on your machine, ensuring data and queries remain private.

What sources can Docs MCP Server index?

It can index documentation from websites, GitHub repos, npm, PyPI, and local file directories.

Is Docs MCP Server free to use?

Yes, it is free, open-source, and community-driven.