Deep Research MCP Server

# Deep Research MCP Server Deep Research is an agent-based tool that provides web search and advanced research capabilities. It leverages HuggingFace's `smolagents` and is implemented as an MCP server. This project is based on [HuggingFace's open_deep_research example](https://github.com/huggingface/smolagents/tree/main/examples/open_deep_research). ## Features - Web search and information gathering - PDF and document analysis - Image analysis and description - YouTube transcript retrieval - Archive site search ## Requirements - Python 3.11 or higher - `uv` package manager - The following API keys: - OpenAI API key - HuggingFace token - SerpAPI key ## Installation 1. Clone the repository: ```bash git clone https://github.com/Hajime-Y/deep-research-mcp.git cd deep-research-mcp ``` 2. Create a virtual environment and install dependencies: ```bash uv venv source .venv/bin/activate # For Linux or Mac # .venv\Scripts\activate # For Windows uv sync ``` ## Environment Variables Create a `.env` file in the root directory of the project and set the following environment variables: ``` OPENAI_API_KEY=your_openai_api_key HF_TOKEN=your_huggingface_token SERPER_API_KEY=your_serper_api_key ``` You can obtain a SERPER_API_KEY by signing up at [Serper.dev](https://serper.dev/signup). ## Usage Start the MCP server: ```bash uv run deep_research.py ``` This will launch the `deep_research` agent as an MCP server. ## Docker Usage You can also run this MCP server in a Docker container: ```bash # Build the Docker image docker build -t deep-research-mcp . # Run with required API keys docker run -p 8080:8080 \ -e OPENAI_API_KEY=your_openai_api_key \ -e HF_TOKEN=your_huggingface_token \ -e SERPER_API_KEY=your_serper_api_key \ deep-research-mcp ``` ### Registering with MCP Clients To register this Docker container as an MCP server in different clients: #### Claude Desktop Add the following to your Claude Desktop configuration file (typically located at `~/.config/Claude/claude_desktop_config.json` on Linux, `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS, or `%APPDATA%\Claude\claude_desktop_config.json` on Windows): ```json { "mcpServers": { "deep-research-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "OPENAI_API_KEY=your_openai_api_key", "-e", "HF_TOKEN=your_huggingface_token", "-e", "SERPER_API_KEY=your_serper_api_key", "deep-research-mcp" ] } } } ``` #### Cursor IDE For Cursor IDE, add the following configuration: ```json { "mcpServers": { "deep-research-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "OPENAI_API_KEY=your_openai_api_key", "-e", "HF_TOKEN=your_huggingface_token", "-e", "SERPER_API_KEY=your_serper_api_key", "deep-research-mcp" ] } } } ``` #### Using with Remote MCP Server If you're running the MCP server on a remote machine or exposing it as a service, you can use the URL-based configuration: ```json { "mcpServers": { "deep-research-mcp": { "url": "http://your-server-address:8080/mcp", "type": "sse" } } } ``` ## Key Components - `deep_research.py`: Entry point for the MCP server - `create_agent.py`: Agent creation and configuration - `scripts/`: Various tools and utilities - `text_web_browser.py`: Text-based web browser - `text_inspector_tool.py`: File inspection tool - `visual_qa.py`: Image analysis tool - `mdconvert.py`: Converts various file formats to Markdown ## License This project is provided under the Apache License 2.0. ## Acknowledgements This project uses code from HuggingFace's `smolagents` and Microsoft's `autogen` projects.