DuckDuckGo Search with MCP Agent

@alihassanml

Basic information

About DuckDuckGo Search with MCP Agent

This project demonstrates how to use DuckDuckGo MCP Server with a LangChain Groq LLM agent to perform intelligent search tasks via MCP (Micro Component Protocol).

#duckduckgo #mcp-server

DuckDuckGo Search with MCP Agent config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Duckduckgo-with-MCP": {
      "command": "uvx",
      "args": [
        "-y",
        "duckduckgo-mcp-server"
      ]
    }
  }
}

DuckDuckGo Search with MCP Agent tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is DuckDuckGo Search with MCP Agent?

DuckDuckGo Search with MCP Agent is a project that demonstrates how to use the DuckDuckGo MCP Server with a LangChain Groq LLM agent to perform intelligent search tasks via MCP (Micro Component Protocol). It is intended for developers building search-driven applications with agentic reasoning.

How to use DuckDuckGo Search with MCP Agent?

Clone the repository, install dependencies with pip install -r requirements.txt, set your GROQ_API_KEY in a .env file, install the MCP server via uvx -y duckduckgo-mcp-server, and run python main.py. The script starts an MCP client, connects to the DuckDuckGo MCP server, and uses the Groq LLM to perform a smart search.

Key features of DuckDuckGo Search with MCP Agent

DuckDuckGo MCP Server integration
Groq LLM (deepseek-r1-distill-llama-70b) for reasoning
Async Python execution
Simple and modular code structure

Use cases of DuckDuckGo Search with MCP Agent

Performing intelligent web searches with an LLM agent
Demonstrating MCP client-server integration with LangChain
Building modular search pipelines that reason over results

Frequently asked questions

What dependencies are required?

The project requires libraries such as `langchain_groq` and `python-dotenv`, listed in `requirements.txt`. You also need `uvx` installed to run the DuckDuckGo MCP server.

What LLM model does the agent use?

The agent uses Groq's `deepseek-r1-distill-llama-70b` model for reasoning.

How do I get started quickly?

Set up your `.env` file with a valid `GROQ_API_KEY`, install all Python dependencies, and run `python main.py`. The script includes an example that searches for "the best restaurant in San Francisco."

What transport protocol does the server use?

The server uses MCP (Micro Component Protocol) over stdio, launched via the `uvx` command.

Is there a license for this project?

Yes, this project is licensed under the MIT License.

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