⚠️ 重要通知：该服务器目前无法运行，因为DeepWiki已切断抓取功能。我们建议暂时使用官方的DeepWiki MCP服务器https://docs.devin.ai/work-with-devin/deepwiki-mcp。

这是一个非官方的Deepwiki MCP服务器

它通过MCP获取Deepwiki的URL，爬取所有相关页面，转换成Markdown，然后返回一个文档或按页面返回列表。

特色

• 🔒 域名安全：仅处理来自 deepwiki.com 的URL。
• 🧹 HTML 净化：去除页眉、页脚、导航、脚本和广告
• 🔗 链接重写：调整链接以适应Markdown格式
• 📄 多种输出格式：获取单文档或结构化页面
• 🚀 性能：快速爬行，可调节并发和深度
• NLP：只需搜索图书馆名称

用途

你可以使用的提示：

获取完整文档（默认）

单页

通过短格式获取

光标

将此文件添加到.cursor/mcp.json文件中。

MCP工具集成

该包注册了一个名为 deepwiki_fetch 的工具，你可以在任何兼容 MCP 的客户端中使用：

参数

Deepwiki MCP Server

⚠️ IMPORTANT NOTICE: This server is currently not working since DeepWiki has cut off the possibility to scrape it. We recommend using the official DeepWiki MCP server at https://docs.devin.ai/work-with-devin/deepwiki-mcp for the time being.

This is an unofficial Deepwiki MCP Server

It takes a Deepwiki URL via MCP, crawls all relevant pages, converts them to Markdown, and returns either one document or a list by page.

Features

• 🔒 Domain Safety: Only processes URLs from deepwiki.com
• 🧹 HTML Sanitization: Strips headers, footers, navigation, scripts, and ads
• 🔗 Link Rewriting: Adjusts links to work in Markdown
• 📄 Multiple Output Formats: Get one document or structured pages
• 🚀 Performance: Fast crawling with adjustable concurrency and depth
• NLP: It’s to search just for the library name

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

Fetch complete Documentation (Default)

use deepwiki https://deepwiki.com/shadcn-ui/ui
use deepwiki multiple pages https://deepwiki.com/shadcn-ui/ui

Single Page

use deepwiki fetch single page https://deepwiki.com/tailwindlabs/tailwindcss/2.2-theme-system

Get by shortform

use deepwiki fetch tailwindlabs/tailwindcss

deepwiki fetch library

deepwiki fetch url
deepwiki fetch /

deepwiki multiple pages ...
deepwiki single page url ...

Cursor

Add this to .cursor/mcp.json file.

{
  "mcpServers": {
    "mcp-deepwiki": {
      "command": "npx",
      "args": ["-y", "mcp-deepwiki@latest"]
    }
  }
}

MCP Tool Integration

The package registers a tool named deepwiki_fetch that you can use with any MCP-compatible client:

{
  "action": "deepwiki_fetch",
  "params": {
    "url": "https://deepwiki.com/user/repo",
    "mode": "aggregate",
    "maxDepth": "1"
  }
}

Parameters

• url (required): The starting URL of the Deepwiki repository
• mode (optional): Output mode, either “aggregate” for a single Markdown document (default) or “pages” for structured page data
• maxDepth (optional): Maximum depth of pages to crawl (default: 10)

Response Format

Success Response (Aggregate Mode)

{
  "status": "ok",
  "data": "# Page Title\n\nPage content...\n\n---\n\n# Another Page\n\nMore content...",
  "totalPages": 5,
  "totalBytes": 25000,
  "elapsedMs": 1200
}

Success Response (Pages Mode)

{
  "status": "ok",
  "data": [
    {
      "path": "index",
      "markdown": "# Home Page\n\nWelcome to the repository."
    },
    {
      "path": "section/page1",
      "markdown": "# First Page\n\nThis is the first page content."
    }
  ],
  "totalPages": 2,
  "totalBytes": 12000,
  "elapsedMs": 800
}

Error Response

{