AutoDocs FAQs

Question 1

What is the current development status of AutoDocs?

Accepted Answer

AutoDocs is currently in its 'Core Validation' phase. Key features like automatic dependency scanning and basic FastMCP integration are implemented. Future updates will include robust documentation fetching, advanced version-based caching, and expanded rich context capabilities.

Question 2

Is AutoDocs compatible with my AI tool?

Accepted Answer

AutoDocs is built with FastMCP, ensuring seamless integration with AI tools that support the MCP protocol, such as Cursor. It's designed to extend the capabilities of compatible AI coding assistants by providing essential project context.

Question 3

What is AutoDocs?

Accepted Answer

AutoDocs is an MCP (Model Communication Protocol) server designed to automatically provide AI assistants with contextual, version-specific documentation for Python project dependencies. It aims to eliminate manual package lookup and enhance coding assistance accuracy.

Question 4

How does AutoDocs improve AI coding assistance?

Accepted Answer

By scanning your `pyproject.toml` files, AutoDocs supplies AI tools with precise, project-aware dependency information. This rich context allows AI assistants to provide more accurate code suggestions, completions, and explanations without requiring manual documentation searches.

Question 5

What kind of documentation does AutoDocs handle?

Accepted Answer

AutoDocs focuses on Python project dependencies, providing contextual information extracted from `pyproject.toml` files. It's designed to support both primary package and nested dependency documentation. Full documentation fetching and version-based caching features are under active development.

AutoDocs

AutoDocs

Key Features

Use Cases

Key Features

Use Cases