duckduckgo-mcp-server 0.1.1

MCP Server for searching via DuckDuckGo

DuckDuckGo Search MCP Server

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

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

This server requires Python 3.10 or higher. Install dependencies using uv (recommended) or pip:

# Using uv (recommended)
uv add "mcp[cli]" httpx beautifulsoup4

# Using pip
pip install "mcp[cli]" httpx beautifulsoup4

Usage

Running with Claude Desktop

1. Download Claude Desktop
2. Create or edit claude_desktop_config.json:

{
    "mcpServers": {
        "ddg-search": {
            "command": "python",
            "args": ["path/to/ddg_search_server.py"]
        }
    }
}

3. Restart Claude Desktop

Direct Usage

Run the server directly:

python ddg_search_server.py

Or use the MCP CLI for development:

mcp dev ddg_search_server.py

Available Tools

1. Search Tool

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

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

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

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.