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MCP Server for searching via DuckDuckGo

Project description

DuckDuckGo Search MCP Server

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A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

DuckDuckGo Server MCP server

Features

  • Web Search: Search DuckDuckGo with advanced rate limiting and result formatting
  • Content Fetching: Retrieve and parse webpage content with intelligent text extraction
  • Rate Limiting: Built-in protection against rate limits for both search and content fetching
  • Error Handling: Comprehensive error handling and logging
  • LLM-Friendly Output: Results formatted specifically for large language model consumption

Installation

Installing via Smithery

To install DuckDuckGo Search Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @nickclyde/duckduckgo-mcp-server --client claude

Installing via uv

Install directly from PyPI using uv:

uv pip install duckduckgo-mcp-server

Usage

Running with Claude Desktop

  1. Download Claude Desktop
  2. Create or edit your Claude Desktop configuration:
    • On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following configuration:

Basic Configuration (No SafeSearch, No Default Region):

{
    "mcpServers": {
        "ddg-search": {
            "command": "uvx",
            "args": ["duckduckgo-mcp-server"]
        }
    }
}

With SafeSearch and Region Configuration:

{
    "mcpServers": {
        "ddg-search": {
            "command": "uvx",
            "args": ["duckduckgo-mcp-server"],
            "env": {
                "DDG_SAFE_SEARCH": "STRICT",
                "DDG_REGION": "cn-zh"
            }
        }
    }
}

Configuration Options:

  • DDG_SAFE_SEARCH: SafeSearch filtering level (optional)
    • STRICT: Maximum content filtering (kp=1)
    • MODERATE: Balanced filtering (kp=-1, default if not specified)
    • OFF: No content filtering (kp=-2)
  • DDG_REGION: Default region/language code (optional, examples below)
    • us-en: United States (English)
    • cn-zh: China (Chinese)
    • jp-ja: Japan (Japanese)
    • wt-wt: No specific region
    • Leave empty for DuckDuckGo's default behavior
  1. Restart Claude Desktop

Running with Claude Code

  1. Download Claude Code
  2. Ensure uvenv is installed and the uvx command is available
  3. Add the MCP server: claude mcp add ddg-search uvx duckduckgo-mcp-server

Development

For local development, you can use the MCP CLI:

# Run with the MCP Inspector
mcp dev server.py

# Install locally for testing with Claude Desktop
mcp install server.py

Available Tools

1. Search Tool

async def search(query: str, max_results: int = 10, region: str = "") -> str

Performs a web search on DuckDuckGo and returns formatted results.

Parameters:

  • query: Search query string
  • max_results: Maximum number of results to return (default: 10)
  • region: (Optional) Region/language code to override the default. Leave empty to use the configured default region.

Region Code Examples:

  • us-en: United States (English)
  • cn-zh: China (Chinese)
  • jp-ja: Japan (Japanese)
  • de-de: Germany (German)
  • fr-fr: France (French)
  • wt-wt: No specific region

Returns: Formatted string containing search results with titles, URLs, and snippets.

Example Usage:

  • Search with default settings: search("python tutorial")
  • Search with specific region: search("latest news", region="jp-ja") for Japanese news

2. Content Fetching Tool

async def fetch_content(url: str) -> str

Fetches and parses content from a webpage.

Parameters:

  • url: The webpage URL to fetch content from

Returns: Cleaned and formatted text content from the webpage.

Features in Detail

Rate Limiting

  • Search: Limited to 30 requests per minute
  • Content Fetching: Limited to 20 requests per minute
  • Automatic queue management and wait times

Result Processing

  • Removes ads and irrelevant content
  • Cleans up DuckDuckGo redirect URLs
  • Formats results for optimal LLM consumption
  • Truncates long content appropriately

Content Safety

  • SafeSearch Filtering: Configured at server startup via DDG_SAFE_SEARCH environment variable

    • Controlled by administrators, not modifiable by AI assistants
    • Filters inappropriate content based on the selected level
    • Uses DuckDuckGo's official kp parameter
  • Region Localization:

    • Default region set via DDG_REGION environment variable
    • Can be overridden per search request by AI assistants
    • Improves result relevance for specific geographic regions

Error Handling

  • Comprehensive error catching and reporting
  • Detailed logging through MCP context
  • Graceful degradation on rate limits or timeouts

Contributing

Issues and pull requests are welcome! Some areas for potential improvement:

  • Additional search parameters (region, language, etc.)
  • Enhanced content parsing options
  • Caching layer for frequently accessed content
  • Additional rate limiting strategies

License

This project is licensed under the MIT License.

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