alizdavoodi/MCPDocSearch
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server, designed for integration with tools like Cursor.
This tool helps technical writers, developers, or anyone managing large documentation sets to make their content easily searchable using AI. It crawls websites, wikis, or existing documentation, converts it into a unified Markdown format, and then creates a smart index. This allows users of AI coding assistants like Cursor to ask natural language questions and get answers directly from their own specific documentation.
No commits in the last 6 months.
Use this if you need to create a searchable knowledge base from a collection of online technical documentation, making it accessible for AI assistants.
Not ideal if you are looking for a general-purpose website search engine for human users or a tool to index non-textual content.
Stars
36
Forks
18
Language
Python
License
MIT
Category
Last pushed
Apr 18, 2025
Commits (30d)
0
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