GitHub DeepWiki
This MCP server provides detailed GitHub repository information by integrating with mcp.deepwiki.com and GitHub API to fetch repository wiki content, README files, and enable intelligent question-answering about repositories.
What is GitHub DeepWiki?
GitHub DeepWiki is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this mcp server provides detailed github repository information by integrating with mcp.deepwiki.com and github api to fetch repository wiki content, readme files, and enable intelligent question-answ...
This MCP server provides detailed GitHub repository information by integrating with mcp.deepwiki.com and GitHub API to fetch repository wiki content, README files, and enable intelligent question-answering about repositories.
This server falls under the Knowledge & Memory and Version Control categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This MCP server provides detailed GitHub repository informat
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx github-deepwiki-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about GitHub DeepWiki
What is GitHub DeepWiki?
GitHub DeepWiki is a Model Context Protocol (MCP) server that this mcp server provides detailed github repository information by integrating with mcp.deepwiki.com and github api to fetch repository wiki content, readme files, and enable intelligent question-answering about repositories. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install GitHub DeepWiki?
Follow the installation instructions on the GitHub DeepWiki GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with GitHub DeepWiki?
GitHub DeepWiki works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is GitHub DeepWiki free to use?
Yes, GitHub DeepWiki is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
GitHub DeepWiki Alternatives — Similar Knowledge & Memory Servers
Looking for alternatives to GitHub DeepWiki? Here are other popular knowledge & memory servers you can use with Claude, Cursor, and VS Code.
MemPalace
★ 52.6kA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically
Kratos
★ 25.7k🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Context Mode
★ 15.4kAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programm
Memu
★ 13.7kMemory for 24/7 proactive agents like OpenClaw.
MemOS
★ 9.3kMemOS (Memory Operating System) is a memory management operating system designed for AI applications. Its goal is: to enable your AI system to have long-term memory like a human, not only remembering what users have said but also actively invoking, u
Everos
★ 5.4kBuild, evaluate, and integrate long-term memory for self-evolving agents.
Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up GitHub DeepWiki in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use GitHub DeepWiki?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.