Content
# MCP DuckDuckGo
A Model Context Protocol (MCP) server that provides web search capabilities using [DuckDuckGo](https://duckduckgo.com). This server enables LLMs to search the web and retrieve detailed content from websites through structured data extraction.
## Key Features
- **Fast and reliable**. Uses DuckDuckGo's web interface with robust HTML parsing
- **LLM-friendly**. Returns structured data optimized for AI consumption
- **Content extraction**. Intelligently extracts and summarizes webpage content
- **Related searches**. Generates contextual search suggestions
## Requirements
- Python 3.10 or newer
- VS Code, Cursor, Windsurf, Claude Desktop, Goose or any other MCP client
## Getting started
First, install the DuckDuckGo MCP server with your client.
**Standard config** works in most of the tools:
```json
{
"mcpServers": {
"duckduckgo-search": {
"command": "mcp-duckduckgo"
}
}
}
```
### Claude Code
Use the Claude Code CLI to add the DuckDuckGo MCP server:
```bash
claude mcp add duckduckgo-search mcp-duckduckgo
```
For global configuration (available in all projects):
```bash
claude mcp add duckduckgo-search --scope user mcp-duckduckgo
```
### Claude Desktop
Follow the MCP install [guide](https://modelcontextprotocol.io/quickstart/user), use the standard config above.
### Cursor
Go to `Cursor Settings` -> `MCP` .
#### Click the button to install:
[Install in Cursor](https://cursor.com/en/install-mcp?name=DuckDuckGo&config=eyJjb21tYW5kIjoibWNwLWR1Y2tkdWNrZ28ifQ%3D%3D)
#### Or install manually:
Go to `Cursor Settings` -> `MCP` -> `Add new MCP Server`. Name to your liking, use `command` type with the command `mcp-duckduckgo`.
### VS Code
#### Click the button to install:
[Install in VS Code](https://insiders.vscode.dev/redirect?url=vscode%3Amcp%2Finstall%3F%257B%2522name%2522%253A%2522duckduckgo-search%2522%252C%2522command%2522%253A%2522mcp-duckduckgo%2522%257D)
#### Or install manually:
Follow the MCP install [guide](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_add-an-mcp-server), use the standard config above.
You can also install the DuckDuckGo MCP server using the VS Code CLI:
```bash
code --add-mcp '{"name":"duckduckgo-search","command":"mcp-duckduckgo"}'
```
After installation, the DuckDuckGo MCP server will be available for use with your GitHub Copilot agent in VS Code.
### Windsurf
Follow Windsurf MCP [documentation](https://docs.windsurf.com/windsurf/cascade/mcp). Use the standard config above.
### Goose
#### Click the button to install:
[](https://block.github.io/goose/extension?cmd=mcp-duckduckgo&id=duckduckgo&name=DuckDuckGo&description=Search%20the%20web%20and%20extract%20content%20using%20DuckDuckGo)
#### Or install manually:
Go to `Advanced settings` -> `Extensions` -> `Add custom extension`. Name to your liking, use type `STDIO`, and set the `command` to `mcp-duckduckgo`. Click "Add Extension".
### LM Studio
#### Click the button to install:
[](https://lmstudio.ai/install-mcp?name=duckduckgo&config=eyJjb21tYW5kIjoibWNwLWR1Y2tkdWNrZ28ifQ%3D%3D)
#### Or install manually:
Go to `Program` in the right sidebar -> `Install` -> `Edit mcp.json`. Use the standard config above.
## Configuration
DuckDuckGo MCP server supports following arguments:
```bash
mcp-duckduckgo --help
```
Available options:
```bash
--port PORT Port number for the MCP server (default: 3000)
--version Show program's version number and exit
--help Show help message and exit
```
### Environment Variables
- `MCP_PORT`: Set the port number for the server (default: 3000)
Example usage:
```bash
# Set port via environment variable
export MCP_PORT=8080
mcp-duckduckgo
# Or set it inline
MCP_PORT=8080 mcp-duckduckgo
```
## Available Tools
### **web_search**
- Title: Web Search
- Description: Search the web using DuckDuckGo
- Parameters:
- `query` (string): Search query (max 400 characters)
- `max_results` (number, optional): Maximum number of results to return (1-20, default 10)
- Read-only: **false**
### **get_page_content**
- Title: Get Page Content
- Description: Retrieve and extract content from a web page
- Parameters:
- `url` (string): URL to fetch content from
- Read-only: **false**
### **suggest_related_searches**
- Title: Suggest Related Searches
- Description: Generate contextual search suggestions based on a query
- Parameters:
- `query` (string): Original search query
- `max_suggestions` (number, optional): Maximum suggestions to return (1-10, default 5)
- Read-only: **true**
## Installation from Source
If you need to install from source or development:
### Using uv (Recommended)
[uv](https://github.com/astral-sh/uv) is a fast Python package manager:
```bash
# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install from GitHub
uv tool install git+https://github.com/gianlucamazza/mcp-duckduckgo.git
```
### Using pip
```bash
# Clone and install
git clone https://github.com/gianlucamazza/mcp-duckduckgo.git
cd mcp-duckduckgo
pip install -e .
```
### Development Installation
```bash
git clone https://github.com/gianlucamazza/mcp-duckduckgo.git
cd mcp-duckduckgo
# Install in development mode
pip install -e .
# Run tests
pip install -e ".[test]"
pytest
```
## License
[MIT](LICENSE)
## Repository
[GitHub Repository](https://github.com/gianlucamazza/mcp-duckduckgo)
