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# 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 <name>/<repo>
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:
```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:
```
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
```
{
"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:
```
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:
```
DEEPWIKI_REQUEST_TIMEOUT=60000 DEEPWIKI_MAX_CONCURRENCY=10 npx mcp-deepwiki
```
## Contributing
We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details.
## License
MIT
## Links
- X/Twitter: [@kregenrek](https://x.com/kregenrek)
- Bluesky: [@kevinkern.dev](https://bsky.app/profile/kevinkern.dev)
## Courses
- Learn Cursor AI: [Ultimate Cursor Course](https://www.instructa.ai/en/cursor-ai)
- Learn to build software with AI: [instructa.ai](https://www.instructa.ai)
## See my other projects:
* [AI Prompts](https://github.com/instructa/ai-prompts/blob/main/README.md) - Curated AI Prompts for Cursor AI, Cline, Windsurf and Github Copilot
* [codefetch](https://github.com/regenrek/codefetch) - Turn code into Markdown for LLMs with one simple terminal command
* [aidex](https://github.com/regenrek/aidex) A CLI tool that provides detailed information about AI language models, helping developers choose the right model for their needs.# tool-starter
