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DuckDuckGo

nickclyde/duckduckgo-mcp-server
1.1k
Summary

The DuckDuckGo MCP Server provides web search and content retrieval capabilities through DuckDuckGo's search engine, enabling LLM-based applications to perform internet searches and fetch webpage content. It offers tools for executing web searches with advanced rate limiting, retrieving and parsing webpage text, and configurable safety filters and regional settings. The server solves the problem of integrating privacy-focused web search functionality into Claude and other MCP-compatible AI applications without requiring API keys.

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DuckDuckGo Search MCP Server

PyPI version PyPI downloads Python versions

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

Quick Start

uvx duckduckgo-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

Install 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

Running with SSE or Streamable HTTP

The server supports alternative transports for use with other MCP clients:

# SSE transport
uvx duckduckgo-mcp-server --transport sse

# Streamable HTTP transport
uvx duckduckgo-mcp-server --transport streamable-http

The default transport is stdio, which is used by Claude Desktop and Claude Code.

When running with sse or streamable-http, override the default bind address (127.0.0.1:8000) with the --host and --port flags:

uvx duckduckgo-mcp-server --transport streamable-http --host 0.0.0.0 --port 7070

Fetch Backend (bypassing bot detection)

Some sites block the default httpx client because of its distinctive TLS fingerprint, regardless of User-Agent — Cloudflare Bot Management and similar filters key on the JA3/TLS handshake, not on headers. An opt-in backend, curl (implemented via curl_cffi), impersonates a real Chrome browser's TLS handshake and passes through those checks.

Installation:

# Default install (httpx only)
uv pip install duckduckgo-mcp-server

# With the optional browser backend
uv pip install "duckduckgo-mcp-server[browser]"

Backend options:

ValueBehaviorNeeds [browser]
httpxLightweight async HTTP. Default. Works on most sites.no
curlUses curl_cffi with Chrome 131 TLS impersonation. Passes TLS-fingerprint-based filters.yes
autoTries httpx first; on 403 or a Cloudflare challenge response, retries with curl.yes

Two ways to configure the backend:

  1. Server-wide default via the --fetch-backend CLI flag (applies to every fetch_content call):

    # Default behavior — uses httpx
    uvx duckduckgo-mcp-server
    
    # Force curl for every fetch (requires the [browser] extra)
    uvx --with "duckduckgo-mcp-server[browser]" duckduckgo-mcp-server --fetch-backend curl
    
    # Try httpx first, fall back to curl on 403 / Cloudflare challenge
    uvx --with "duckduckgo-mcp-server[browser]" duckduckgo-mcp-server --fetch-backend auto
    
  2. Per-call override via the backend argument on the fetch_content tool (overrides the CLI default for that single call). The tool exposes backend in its input schema, so an MCP client can choose "httpx", "curl", or "auto" on a fetch-by-fetch basis.

The search tool always uses httpx — DuckDuckGo's search endpoint doesn't require impersonation.

The default stays httpx so users who don't need the impersonation don't pay for the extra dependency.

Development

For local development:

# Install dependencies
uv sync

# Run with the MCP Inspector
mcp dev src/duckduckgo_mcp_server/server.py

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

# Run all tests
uv run python -m pytest src/duckduckgo_mcp_server/ -v

# Run only unit tests
uv run python -m pytest src/duckduckgo_mcp_server/test_server.py -v

# Run only e2e tests
uv run python -m pytest src/duckduckgo_mcp_server/test_e2e.py -v

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,
    start_index: int = 0,
    max_length: int = 8000,
    backend: Optional[str] = None,
) -> str

Fetches and parses content from a webpage.

Parameters:

  • url: The webpage URL to fetch content from
  • start_index: Character offset to start reading from (for pagination)
  • max_length: Maximum number of characters to return
  • backend: Optional per-call override of the default fetch backend ("httpx", "curl", or "auto"). When omitted, uses whatever was set via --fetch-backend at server startup.

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:

  • 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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Categories
AI & LLM ToolsSearch & Web Crawling
UpdatedMar 10, 2026
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