AutoDocs
0
Provides AI assistants with contextual, version-specific documentation for Python project dependencies, eliminating manual package lookup and enhancing coding assistance.
About
AutoDocs is an MCP server designed to empower AI assistants by delivering precise, version-specific documentation for Python project dependencies. It automatically scans `pyproject.toml` files, caches documentation based on resolved package versions, and gracefully handles errors. By integrating with AI tools like Cursor, AutoDocs ensures that AI assistants have rich context from both primary packages and their dependencies, leading to more accurate and efficient coding support.
Key Features
- Automatic Dependency Scanning: Parses pyproject.toml files and extracts dependency information.
- 0 GitHub stars
- Graceful Degradation: Handles malformed dependencies and network issues gracefully.
- FastMCP Integration: Built for seamless integration with AI tools like Cursor.
- Rich Context: Provides AI assistants with both primary package and dependency documentation.
- Version-Specific Caching: Caches documentation based on resolved package versions.
Use Cases
- Configuring AI development environments like Cursor to provide real-time dependency documentation.
- Automating the provision of accurate, version-aware documentation to AI coding assistants.
- Enhancing the accuracy and efficiency of AI-powered code generation and assistance.
Sponsored