duckduckgo-mcp-server MCP Server
nickclyde/duckduckgo-mcp-server
[](https://agentrank-ai.com/tool/nickclyde--duckduckgo-mcp-server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
nickclyde/duckduckgo-mcp-server is a Python MCP server licensed under MIT. A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
Ranked #2285 out of 24846 indexed tools.
In the top 10% of all indexed tools.
Has 1,529 GitHub stars.
Used by 24 other projects.
Has 12 contributors.
Ecosystem
Score Breakdown
1,529 stars → well-known project
Last commit 1mo ago → moderate activity
33/39 issues closed → responsive maintainer
12 contributors → active community
24 dependents → few downstream users
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# 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. ## Quick Start ```bash 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 - **Long URL Shortening**: Over-long result URLs become short `ref://` tokens that `fetch_content` accepts directly, saving context - **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`: ```bash uv pip install duckduckgo-mcp-server ``` ## Usage ### Running with Claude Desktop 1. Download [Claude Desktop](https:/Read full README on GitHub →
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