What is the difference between read_wiki_structure and read_wiki_contents?

read_wiki_structure provides the table of contents and topic list, while read_wiki_contents retrieves the full AI-generated documentation for a specific topic.

How do I add a new repository to the index?

You can visit DeepWiki.com, enter the repository URL, and the system will begin the AI indexing process automatically.

Do I need an API key to use this skill?

No, this skill is provided as an official, free tool by Cognition (Devin AI) and requires no authentication or API keys.

What repositories can DeepWiki MCP access?

It can access and provide documentation for any public GitHub repository that has been indexed on DeepWiki.com.

DeepWiki GitHub Documentation

Name: DeepWiki GitHub Documentation
Author: plurigrid

byplurigrid

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Learning & Documentation

Accesses AI-generated documentation and provides context-grounded Q&A for public GitHub repositories.

About

DeepWiki-MCP is a specialized skill that bridges the gap between raw source code and high-level conceptual understanding by providing programmatic access to AI-indexed documentation. It allows developers to quickly retrieve wiki structures, read specific topic contents, and ask technical questions about any public GitHub repository indexed on DeepWiki.com. This is especially valuable for navigating complex mathematical or scientific libraries, performing cross-repository comparisons, and accelerating the onboarding process for large open-source projects.

Key Features

Context-aware Q&A grounded in repository source code
2 GitHub stars
Automated wiki structure and table of contents generation
Integration with scientific and research-oriented triads
AI-powered repository documentation retrieval
Support for high-level technical concept exploration

Use Cases

Rapidly onboarding onto complex new libraries like Catlab.jl or DisCoPy
Asking specific implementation questions without reading the entire codebase
Comparing how different repositories handle similar technical patterns

About

Key Features

Context-aware Q&A grounded in repository source code
2 GitHub stars
Automated wiki structure and table of contents generation
Integration with scientific and research-oriented triads
AI-powered repository documentation retrieval
Support for high-level technical concept exploration

Use Cases

Rapidly onboarding onto complex new libraries like Catlab.jl or DisCoPy
Asking specific implementation questions without reading the entire codebase
Comparing how different repositories handle similar technical patterns