📖 MCP 服务器用于获取 deepwiki.com 的最新知识,并在 Cursor 和其他代码编辑器中使用
3.5w 查看 · 2026-07-07 更新
简介
📖 MCP 服务器用于获取 deepwiki.com 的最新知识,并在 Cursor 和其他代码编辑器中使用
简介
📖 MCP 服务器用于获取 deepwiki.com 的最新知识,并在 Cursor 和其他代码编辑器中使用
Deepwiki MCP Server
This is an unofficial Deepwiki MCP server.
It receives a Deepwiki URL via MCP, scrapes all related pages, converts them to Markdown format, and returns a document or a list of pages.
Features
- 🔒 Domain Security: Only handles URLs from deepwiki.org
- 🧹 HTML Cleanup: Removes headers, footers, navigation, scripts, and ads
- 🔗 Link Rewriting: Adjusts links to work in Markdown
- 📄 Multiple Output Formats: Get a single document or structured pages
- 🚀 Performance: Fast scraping with adjustable concurrency and depth
- NLP: Used only for library name search
Usage
Prompts you can use:
deepwiki fetch how can i use gpt-image-1 with "vercel ai" sdk deepwiki fetch how can i create new blocks in shadcn? deepwiki fetch i want to understand how X works
Get the full document (default)
use deepwiki https://deepwiki.org/shadcn-ui/ui use deepwiki multiple pages https://deepwiki.org/shadcn-ui/ui
Single page
use deepwiki fetch single page https://deepwiki.org/tailwindlabs/tailwindcss/2.2-theme-system
Use short form to get
use deepwiki fetch tailwindlabs/tailwindcss deepwiki fetch library deepwiki fetch url deepwiki fetch <name>/<repo> deepwiki multiple pages ... deepwiki single page url ...
Cursor
Add the following to your .cursor/mcp.json file.
{ "mcpServers": { "mcp-deepwiki": { "command": "npx", "args": [ "-y", "mcp-deepwiki@latest" ] } } }

MCP Tool Integration
This package registers a tool named deepwiki_fetch that you can use in any MCP-compatible client:
{ "action": "deepwiki_fetch", "params": { "url": "https://deepwiki.org/user/repo", "mode": "aggregate", "maxDepth": "1" } }
Parameters
url(required): The starting URL of the Deepwiki repositorymode(optional): Output mode, can be "aggregate" for a single Markdown document (default), or "pages" for structured page datamaxDepth(optional): Maximum page depth to scrape (default: 10)
Response Format
Successful Response (Aggregate Mode)
{ "status": "ok", "data": "# 页面标题 页面内容... --- # 另一个页面 更多内容...", "totalPages": 5, "totalBytes": 25000, "elapsedMs": 1200 }
Successful Response (Pages Mode)
{ "status": "ok", "data": [ { "path": "index", "markdown": "# 主页 欢迎来到仓库。" }, { "path": "section/page1", "markdown": "# 第一页 这是第一页的内容。" } ], "totalPages": 2, "totalBytes": 12000, "elapsedMs": 800 }
Error Response
{ "status": "error", "code": "DOMAIN_NOT_ALLOWED", "message": "仅允许 deepwiki.org 域名" }
Partial Success Response
{ "status": "partial", "data": "# 页面标题 页面内容...", "errors": [ { "url": "https://deepwiki.org/user/repo/page2", "reason": "HTTP 错误: 404" } ], "totalPages": 1, "totalBytes": 5000, "elapsedMs": 950 }
Progress Events
While using the tool, you will receive progress events during the scraping process:
Fetched https://deepwiki.org/user/repo: 12500 bytes in 450ms (status: 200) Fetched https://deepwiki.org/user/repo/page1: 8750 bytes in 320ms (status: 200) Fetched https://deepwiki.org/user/repo/page2: 6200 bytes in 280ms (status: 200)
Local Development - Installation
Local Use
{ "mcpServers": { "mcp-deepwiki": { "command": "node", "args": [ "./bin/cli.mjs" ] } } }
Install from Source
# 克隆仓库 git clone https://github.com/regenrek/mcp-deepwiki.git cd mcp-deepwiki # 安装依赖 npm install # 构建包 npm run build
Direct API Call
For HTTP transport, you can make a direct API call:
curl -X POST http://localhost:3000/mcp -H "Content-Type: application/json" -d '{ "id": "req-1", "action": "deepwiki_fetch", "params": { "url": "https://deepwiki.org/user/repo", "mode": "aggregate" } }'
Configuration
Environment Variables
DEEPWIKI_MAX_CONCURRENCY: Maximum number of concurrent requests (default: 5)DEEPWIKI_REQUEST_TIMEOUT: Request timeout in milliseconds (default: 30000)DEEPWIKI_MAX_RETRIES: Maximum number of retries for failed requests (default: 3)DEEPWIKI_RETRY_DELAY: Base delay for retry backoff in milliseconds (default: 250)
To configure these environment variables, create a .env file in the root of the project:
DEEPWIKI_MAX_CONCURRENCY=10 DEEPWIKI_REQUEST_TIMEOUT=60000 DEEPWIKI_MAX_RETRIES=5 DEEPWIKI_RETRY_DELAY=500
Docker Deployment (Untested)
Build and run the Docker image:
# 构建镜像 docker build -t mcp-deepwiki . # 使用 stdio 传输方式运行(适用于开发) docker run -it --rm mcp-deepwiki # 使用 HTTP 传输方式运行(适用于生产) docker run -d -p 3000:3000 mcp-deepwiki --http --port 3000 # 使用环境变量运行 docker run -d -p 3000:3000 -e DEEPWIKI_MAX_CONCURRENCY=10 -e DEEPWIKI_REQUEST_TIMEOUT=60000 mcp-deepwiki --http --port 3000
Development
# 安装依赖 pnpm install # 使用 stdio 方式以开发模式运行 pnpm run dev-stdio # 运行测试 pnpm test # 运行代码检查 pnpm run lint # 构建包 pnpm run build
Troubleshooting
Common Issues
-
Permission Denied: If you encounter an EACCES error when running the CLI, ensure the binary is executable: bash chmod +x ./node_modules/.bin/mcp-deepwiki
-
Connection Refused: Ensure the port is available and not blocked by a firewall: bash
Check if the port is in use
lsof -i :3000
-
Timeout Errors: For large repositories, consider increasing the timeout and concurrency: bash DEEPWIKI_REQUEST_TIMEOUT=60000 DEEPWIKI_MAX_CONCURRENCY=10 npx mcp-deepwiki
Contributing
We welcome contributions! See CONTRIBUTING.md for details.
License
MIT
Links
- X/Twitter: @kregenrek
- Bluesky: @kevinkern.dev
Courses
- Learn Cursor AI: Ultimate Cursor Course
- Learn to Build Software with AI: instructa.ai
Check Out My Other Projects:
- AI Prompts - Curated AI prompts for Cursor AI, Cline, Windsurf, and Github Copilot
- codefetch - Convert code to Markdown format with a simple terminal command, making it easy for LLMs to use* aidex - A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.
工具列表
- deepwiki_fetch: Fetch a deepwiki.org repo and return Markdown
服务配置
[{'mcpServers': {'mcp-deepwiki': {'args': ['-y', 'mcp-deepwiki@latest'], 'command': 'npx'}}}]
来源
- 来源:github
- 链接:https://github.com/regenrek/deepwiki-mcp