Overview

Title

DuckDuckGo Search MCP Server

How to Use

• Install via Smithery (npx -y @smithery/cli install @nickclyde/duckduckgo-mcp-server --client claude) or PyPI (uv pip install duckduckgo-mcp-server).
• Configure Claude Desktop by adding the server to claude_desktop_config.json.
• Run locally for development using the MCP CLI (mcp dev server.py).

Key Features

• Web Search – Advanced DuckDuckGo search with rate limiting and formatted results.
• Content Fetching – Retrieve and parse webpage content with intelligent extraction.
• Rate Limiting – Built-in protection for search (30/min) and content fetching (20/min).
• LLM-Friendly Output – Optimized results for large language models.
• Error Handling – Comprehensive logging and graceful degradation.

Use Cases

• Enhancing AI assistants with real-time web search capabilities.
• Extracting clean, structured text from webpages for analysis.
• Integrating DuckDuckGo search into MCP-compatible applications.
• Development and testing of search-enhanced LLM workflows.