deep-research-mcp

into-the-night/deep-research-mcp

3.3

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Deep Research MCP is a sample server designed to demonstrate the integrative capabilities of the Model Context Protocol (MCP).

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Deep Research MCP

This is a sample MCP server used to showcase MCP's integrative capabilites. It includes two tools: generate_plan and execute_plan.

Built with 🛠

  • FastMCP
  • LangChain
  • Groq

How to run 🏃🏻‍♂️

  1. Clone the repository:

    git clone https://github.com/into-the-night/deep-research-mcp.git
cd deep-research-mcp

  2. Install uv:

    For Windows-

    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

    For MacOS/Linux-

    curl -LsSf https://astral.sh/uv/install.sh | sh

  3. Create a virtual environment and activate it:

    uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

  4. Install dependencies:

    uv pip install -e .

  5. Create a .env file and populate it with:

    TAVILY_API_KEY=<YOUR_TAVILY_API_KEY>
GROQ_API_KEY=<YOUR_GROQ_API_KEY>

  6. Run the app:

    uv run app.py

Use with Claude Desktop 💻

  1. Download Claue Desktop: https://claude.ai/download

  2. Copy and paste this into claude_desktop_config.json:

    {
    "mcpServers": {
        "deep_research": {
            "command": "uv",
            "args": [
                "--directory",
                "ABSOLUTE\PATH\TO\REPO",
                "run",
                "app.py"
            ]
        }
    }
}

  3. Restart Claude Desktop

Note: If you still can't see the server inside the app, make sure Claude gets completely restarted as it might still be running in system tray.

Author ✍

Made with ♥ by Abhay Shukla

License 📜

This project is licensed under the MIT License - see the file for details.