DuckDuckGo Search MCP Server

The DuckDuckGo Search MCP Server gives AI assistants direct, reliable access to web search and content extraction through the privacy‑focused DuckDuckGo engine. By exposing a clean, rate‑limited API that returns results in a format tailored for large language models (LLMs), the server removes the friction of building custom scrapers or dealing with ad‑heavy pages. Developers can integrate real‑time search into conversational agents, knowledge‑base updates, or data‑driven workflows without exposing sensitive credentials or worrying about violating DuckDuckGo’s usage policies.

At its core, the server offers two main tools: search and fetch_content. The search tool performs DuckDuckGo queries, returning titles, URLs, and concise snippets that have been stripped of advertisements and unnecessary redirects. The fetch_content tool retrieves the raw HTML of a given URL, intelligently parses it to extract meaningful text, and formats the output so that an LLM can ingest it directly. Both tools enforce strict rate limits (30 searches/min, 20 fetches/min) and automatically queue excess requests, ensuring compliance with DuckDuckGo’s terms while maintaining a smooth user experience.

Key capabilities include advanced rate limiting, comprehensive error handling with contextual logging, and LLM‑friendly output formatting. The server’s result processing pipeline removes ads, cleans redirect URLs, and truncates overly long content to fit typical prompt sizes. These features make the data immediately usable in prompts, allowing agents to reference up‑to‑date web information without additional preprocessing steps.

Typical use cases span real‑world scenarios such as: live fact‑checking in customer support bots, dynamic content summarization for news aggregation services, and continuous knowledge base enrichment in research assistants. Because the MCP server integrates natively with Claude Desktop and other MCP‑compatible clients, developers can embed web search directly into conversational flows—triggered automatically when a user asks for recent statistics or the latest product reviews.

What sets this server apart is its focus on privacy, simplicity, and LLM readiness. By leveraging DuckDuckGo’s no‑tracking policy, the server protects user data while still providing comprehensive search results. The built‑in rate limiting and error handling shield developers from API throttling headaches, while the LLM‑friendly output eliminates the need for custom parsing logic. For developers building intelligent assistants that require up‑to‑date information, the DuckDuckGo Search MCP Server delivers a plug‑and‑play solution that is both robust and developer‑friendly.