DuckDuckGo & Felo AI Search

DuckDuckGo Search MCP is a privacy-first search server that enables real-time web search and AI-powered information retrieval without requiring API keys. It performs comprehensive web scraping directly from DuckDuckGo HTML and integrates with multiple AI search providers to deliver enhanced search capabilities to AI assistants. Key features of DuckDuckGo Search MCP: - Web search via DuckDuckGo HTML scraping with full content and metadata extraction - AI-powered answers from IAsk AI, Monica, and Brave AI search services - Works out of the box with no API keys or authentication required - Performance optimization through built-in response caching - Security protections including rate limiting and rotating user agents - MCP-compliant server implementation compatible with various AI assistants

DuckDuckGo, IAsk AI, Monica & Brave AI Search MCP 🔍🧠 Lightning-fast, privacy-first Model Context Protocol (MCP) server for web search and AI-powered answers. Powered by DuckDuckGo, IAsk AI, Monica, and Brave AI. Subscribe for updates & tutorials

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> [!IMPORTANT] > DuckDuckGo Search MCP supports the Model Context Protocol (MCP) standard, making it compatible with various AI assistants and tools.

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✨ Features

🌐 Web search using DuckDuckGo HTML 🧠 AI search using IAsk AI, Monica & Brave AI ⚡ Performance optimized with caching 🛡️ Security features including rate limiting and rotating user agents 🔌 MCP-compliant server implementation 🆓 No API keys required - works out of the box

> [!IMPORTANT] > Unlike many search tools, this package performs actual web scraping rather than using limited APIs, giving you more comprehensive results.

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🚀 Quick Start

Run instantly with npx:

npx -y @oevortex/ddg_search@latest

> [!TIP] > This will download and run the latest version of the MCP server directly without installation – perfect for quick use with AI assistants.

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🛠️ Installation Options

Global Installation (npm)

npm install -g @oevortex/ddg_search

Run globally:

ddg-search-mcp

Global Installation (Yarn)

yarn global add @oevortex/ddg_search

Run globally:

ddg-search-mcp

Global Installation (pnpm)

pnpm add -g @oevortex/ddg_search

Run globally:

ddg-search-mcp

Local Installation (Development)

git clone https://github.com/OEvortex/ddg_search.git
cd ddg_search
npm install
npm start

Or with Yarn:

yarn install
yarn start

Or with pnpm:

pnpm install
pnpm start

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🧑‍💻 Command Line Options

npx -y @oevortex/ddg_search@latest --help

> [!TIP] > Use the --version flag to check which version you're running.

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🤖 Using with MCP Clients

> [!IMPORTANT] > The most common way to use this tool is by integrating it with MCP-compatible AI assistants.

Add the server to your MCP client configuration:

{
  "mcpServers": {
    "ddg-search": {
      "command": "npx",
      "args": ["-y", "@oevortex/ddg_search@latest"]
    }
  }
}

Or if installed globally:

{
  "mcpServers": {
    "ddg-search": {
      "command": "ddg-search-mcp"
    }
  }
}

> [!TIP] > After configuring, restart your MCP client to apply the changes.

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🧰 Tools Overview

🔍 Web Search Tool web-search query (string, required): The search query page (integer, optional, default: 1): Page number numResults (integer, optional, default: 10): Number of results (1-20) Example: Search the web for "climate change solutions" 🧠 IAsk AI Search Tool iask-search query (string, required): The search query or question mode (string, optional, default: "question"): Search mode - "question", "academic", "forums", "wiki", or "thinking" detailLevel (string, optional): Response detail level - "concise", "detailed", or "comprehensive" Example: Search IAsk AI for "Explain quantum computing in simple terms"

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