Document Automation
Automates codebase analysis and documentation generation for local directories or GitHub repositories, extracting project structure, dependencies, and API endpoints while generating documentation in multiple formats including Markdown, HTML, and RST.
About
This MCP server provides AI assistants with automated codebase analysis and documentation generation capabilities, built by Vedant Parmar using Python with FastAPI, GitPython, and professional documentation generators. The implementation offers five core tools for analyzing local directories or GitHub repositories to extract project structure and dependencies, generating comprehensive documentation in multiple formats (Markdown, HTML, RST), listing detailed project structures with file metadata, extracting API endpoints from web frameworks, and analyzing project dependencies with development dependency support. Built with security validation for path traversal protection, temporary directory management for GitHub repository cloning, caching mechanisms for analysis results, and Docker deployment support with Google Cloud Build integration, it serves development teams needing automated documentation workflows, technical writers requiring structured codebase analysis, and AI assistants helping with code comprehension and documentation tasks across multiple programming languages and project types.
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