Query AI-generated documentation for public GitHub repositories via the DeepWiki MCP service.
npx skills add https://github.com/astralform-ai/skills --skill deepwiki-astralform-ai
Please help me install this Agent Skill. Skill: deepwiki Source: https://github.com/astralform-ai/skills/tree/main/skills/deepwiki Command: npx skills add https://github.com/astralform-ai/skills --skill deepwiki-astralform-ai
read_wiki_structure to list all documented topics for a repository before diving in. - Topic-Level Documentation: Use read_wiki_contents to read detailed docs on specific topics like architecture or API design. - Targeted Q&A: Use ask_question to get AI-grounded answers to specific questions like "Does this project support streaming?" - Use Case: Before integrating a new library, ask how its routing layer works or what database it uses, without cloning or reading the codebase. ## Quick Start Ask the AI to explain how the langchain-ai/langchain repository works using DeepWiki.High-intent search queries and answers about installing and using this skill.
Use the DeepWiki MCP service by first calling read_wiki_structure with the repo name (e.g., langchain-ai/langchain) to see documented topics, then call read_wiki_contents on relevant sections or ask_question for specific queries.
DeepWiki provides three tools: read_wiki_structure lists documentation topics for a repo, read_wiki_contents reads docs on a specific topic, and ask_question answers arbitrary questions about a repo with AI-grounded responses.
No, DeepWiki is a free hosted MCP service that requires no API key. You connect to the Streamable HTTP endpoint at https://mcp.deepwiki.com/mcp and can immediately query any public GitHub repository.
No, DeepWiki works with public repositories only. If you need to understand a private codebase, you must use other approaches such as reading the source directly or using locally indexed documentation tools.
Use ask_question for specific technical queries like "Does this project support streaming responses?" where you want a direct answer. Use read_wiki_contents when you want to read full documentation on a topic such as architecture or API design.
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