MkDocs Search
Enables Large Language Models to search through documentation generated by MkDocs.
About
MkDocs Search is an MCP server that allows Large Language Models (LLMs) to search through documentation sites built with MkDocs. It leverages the Lunr.js search engine for efficient, local search, providing LLMs with summarized and relevant results from the documentation. This enables AI agents to quickly find and utilize information within MkDocs-powered documentation.
Key Features
- MCP-compliant server for LLM integration
- Version-specific documentation search
- Local search using Lunr.js indexes
- 4 GitHub stars
Use Cases
- Integrating documentation search into AI assistants
- Automating documentation research with AI
- Enabling LLMs to answer questions based on documentation
Sponsored