DuckDuckGo Search

by gianlucamazza

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GitHub

About

Integrates with DuckDuckGo's public interface to provide web search functionality, offering advanced features like detailed result exploration, related searches, pagination, and content extraction for research and information gathering tasks.

Details

Author: gianlucamazza
Repository: gianlucamazza/mcp-duckduckgo
GitHub stars: 2
License: MIT License
Categories: Productivity, Developer Tools, Design, AI, Search, Project Management, Knowledge Base
Tags: #integration

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name DuckDuckGo Search

Command (node, npx, python, etc.) mcp-duckduckgo

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [
                "/c",
                "mcp-duckduckgo"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [
                "/c",
                "mcp-duckduckgo"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [
                "/c",
                "mcp-duckduckgo"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [
                "/c",
                "mcp-duckduckgo"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [
                "/c",
                "mcp-duckduckgo"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

From the repository

DuckDuckGo MCP server supports following arguments:

mcp-duckduckgo --help

Available options:

--port PORT        Port number for the MCP server (default: 3000)

--version          Show program's version number and exit

--help             Show help message and exit

Go to Program in the right sidebar -> Install -> Edit mcp.json. Use the standard config above.

- MCP_PORT: Set the port number for the server (default: 3000)

Example usage:

export MCP_PORT=8080 mcp-duckduckgo If you need to install from source or development: curl -LsSf https://astral.sh/uv/install.sh | sh

uv tool install git+https://github.com/gianlucamazza/mcp-duckduckgo.git

git clone https://github.com/gianlucamazza/mcp-duckduckgo.git
cd mcp-duckduckgo
pip install -e .

bash
git clone https://github.com/gianlucamazza/mcp-duckduckgo.git
cd mcp-duckduckgo

pip install -e .

`web_search`

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)

`get_page_content`

Retrieve and extract content from a web page. Parameters: url (string): URL to fetch content from

`suggest_related_searches`

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)

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "duckduckgo search": {
            "env": {},
            "args": [],
            "command": "mcp-duckduckgo"
        }
    }
}

Linux

{
    "env": [],
    "args": [],
    "command": "mcp-duckduckgo"
}

Macos

{
    "env": [],
    "args": [],
    "command": "mcp-duckduckgo"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "mcp-duckduckgo"
    ],
    "command": "cmd"
}

MCP DuckDuckGo

A Model Context Protocol (MCP) server that provides web search capabilities using DuckDuckGo. 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:

{
  "mcpServers": {
    "duckduckgo-search": {
      "command": "mcp-duckduckgo"
    }
  }
}

Claude Code

Use the Claude Code CLI to add the DuckDuckGo MCP server:

claude mcp add duckduckgo-search mcp-duckduckgo

For global configuration (available in all projects):

claude mcp add duckduckgo-search --scope user mcp-duckduckgo

Claude Desktop

Follow the MCP install guide, use the standard config above.

Cursor

Go to Cursor Settings -> MCP .

Click the button to install:

Install in Cursor

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

Or install manually:

Follow the MCP install guide, use the standard config above.

You can also install the DuckDuckGo MCP server using the VS Code CLI:

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. Use the standard config above.

Goose

Click the button to install:

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:

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:

mcp-duckduckgo --help

Available options:

--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:

# 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 is a fast Python package manager:

# 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

# Clone and install
git clone https://github.com/gianlucamazza/mcp-duckduckgo.git
cd mcp-duckduckgo
pip install -e .

Development Installation

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

Repository

GitHub Repository

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About

Details

Jump to

Setting up with Highlight

From the repository

web_search

get_page_content

suggest_related_searches

Claude Desktop / Cursor

Linux

Macos

Windows

MCP DuckDuckGo

Key Features

Requirements

Getting started

Claude Code

Claude Desktop

Cursor

Click the button to install:

Or install manually:

VS Code

Click the button to install:

Or install manually:

Windsurf

Goose

Click the button to install:

Or install manually:

LM Studio

Click the button to install:

Or install manually:

Configuration

Environment Variables

Or set it inline

Available Tools

web_search

get_page_content

suggest_related_searches

Installation from Source

Using uv (Recommended)

Install from GitHub

Using pip

Development Installation

Install in development mode

Run tests

License

Repository

Install

More like this

Time

Sentry

Github

Git

GitLab

Context 7

`web_search`

`get_page_content`

`suggest_related_searches`