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:

code

deepwiki fetch how can i use gpt-image-1 with "vercel ai" sdk

code

deepwiki fetch how can i create new blocks in shadcn?

code

deepwiki fetch i want to understand how X works

Fetch complete Documentation (Default)

code

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

Single Page

code

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

Get by shortform

code

use deepwiki fetch tailwindlabs/tailwindcss

code

deepwiki fetch library

deepwiki fetch url
deepwiki fetch /

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

Cursor

Add this to .cursor/mcp.json file.

code

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

Deepwiki Logo

MCP Tool Integration

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

json

{
  "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)

json

{
  "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)

json

{
  "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

json

{
  "status": "error",
  "code": "DOMAIN_NOT_ALLOWED",
  "message": "Only deepwiki.com domains are allowed"
}

Partial Success Response

json

{
  "status": "partial",
  "data": "# Page Title\n\nPage content...",
  "errors": [
    {
      "url": "https://deepwiki.com/user/repo/page2",
      "reason": "HTTP error: 404"
    }
  ],
  "totalPages": 1,
  "totalBytes": 5000,
  "elapsedMs": 950
}

Progress Events

When using the tool, you'll receive progress events during crawling:

code

Fetched https://deepwiki.com/user/repo: 12500 bytes in 450ms (status: 200)
Fetched https://deepwiki.com/user/repo/page1: 8750 bytes in 320ms (status: 200)
Fetched https://deepwiki.com/user/repo/page2: 6200 bytes in 280ms (status: 200)

Local Development - Installation

Local Usage

code

{
  "mcpServers": {
    "mcp-deepwiki": {
      "command": "node",
      "args": ["./bin/cli.mjs"]
    }
  }
}

From Source

bash

# Clone the repository
git clone https://github.com/regenrek/deepwiki-mcp.git
cd deepwiki-mcp

# Install dependencies
npm install

# Build the package
npm run build

Direct API Calls

For HTTP transport, you can make direct API calls:

bash

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "id": "req-1",
    "action": "deepwiki_fetch",
    "params": {
      "url": "https://deepwiki.com/user/repo",
      "mode": "aggregate"
    }
  }'

Configuration

Environment Variables

DEEPWIKI_MAX_CONCURRENCY: Maximum concurrent requests (default: 5)
DEEPWIKI_REQUEST_TIMEOUT: Request timeout in milliseconds (default: 30000)
DEEPWIKI_MAX_RETRIES: Maximum retry attempts for failed requests (default: 3)
DEEPWIKI_RETRY_DELAY: Base delay for retry backoff in milliseconds (default: 250)

To configure these, create a .env file in the project root:

code

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:

bash

# Build the image
docker build -t mcp-deepwiki .

# Run with stdio transport (for development)
docker run -it --rm mcp-deepwiki

# Run with HTTP transport (for production)
docker run -d -p 3000:3000 mcp-deepwiki --http --port 3000

# Run with environment variables
docker run -d -p 3000:3000 \
  -e DEEPWIKI_MAX_CONCURRENCY=10 \
  -e DEEPWIKI_REQUEST_TIMEOUT=60000 \
  mcp-deepwiki --http --port 3000

Development

bash

# Install dependencies
pnpm install

# Run in development mode with stdio
pnpm run dev-stdio

# Run tests
pnpm test

# Run linter
pnpm run lint

# Build the package
pnpm run build

Troubleshooting

Common Issues

1. Permission Denied: If you get EACCES errors when running the CLI, make sure to make the binary executable:

bash

chmod +x ./node_modules/.bin/mcp-deepwiki

2. Connection Refused: Make sure the port is available and not blocked by a firewall:

bash

# Check if port is in use
   lsof -i :3000

3. Timeout Errors: For large repositories, consider increasing the timeout and concurrency:

code

DEEPWIKI_REQUEST_TIMEOUT=60000 DEEPWIKI_MAX_CONCURRENCY=10 npx mcp-deepwiki

Contributing

We welcome contributions! Please see CONTRIBUTING.md for details.

License

MIT

Courses

Learn Cursor AI: Ultimate Cursor Course
Learn to build software with AI: instructa.ai

See my other projects:

AI Prompts - Curated AI Prompts for Cursor AI, Cline, Windsurf and Github Copilot
codefetch - Turn code into Markdown for LLMs with one simple terminal command
aidex A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.# tool-starter

Deepwiki Mcp

Documentation

Deepwiki MCP Server

Features

Usage

Cursor

MCP Tool Integration

Parameters

Response Format

Success Response (Aggregate Mode)

Success Response (Pages Mode)

Error Response

Partial Success Response

Progress Events

Local Development - Installation

Local Usage

From Source

Direct API Calls

Configuration

Environment Variables

Docker Deployment (Untested)

Development

Troubleshooting

Common Issues

Contributing

License

Links

Courses

See my other projects:

Similar MCP

Mcp Server Kubernetes

Mcp Wave

Glm Mcp Server

Openai Gpt Image Mcp

Trending MCP

Playwright Mcp

Serena

Mcp Playwright

Mcp Server Cloudflare

Mcp Server Kubernetes

Mcp Wave

Glm Mcp Server

Openai Gpt Image Mcp

Playwright Mcp

Serena

Mcp Playwright

Mcp Server Cloudflare