MCP Server

gpt-researcher

An autonomous agent that conducts deep research on any data using any LLM providers

Features

✓📝 Generate detailed research reports using web and local documents.
✓🖼️ Smart image scraping and filtering for reports.
✓🍌 **AI-generated inline images** using Google Gemini (Nano Banana) for visual illustrations.
✓📜 Generate detailed reports exceeding 2,000 words.
✓🌐 Aggregate over 20 sources for objective conclusions.
✓🖥️ Frontend available in lightweight (HTML/CSS/JS) and production-ready (NextJS + Tailwind) versions.
✓🔍 JavaScript-enabled web scraping.
✓📂 Maintains memory and context throughout research.
✓📄 Export reports to PDF, Word, and other formats.

Install Python 3.11 or later. Guide.

Clone the project and navigate to the directory:

bash

    git clone https://github.com/assafelovic/gpt-researcher.git
    cd gpt-researcher

Set up API keys by exporting them or storing them in a .env file.

bash

    export OPENAI_API_KEY={Your OpenAI API Key here}
    export TAVILY_API_KEY={Your Tavily API Key here}

(Optional) For enhanced tracing and observability, you can also set:

bash

    # export LANGCHAIN_TRACING_V2=true
    # export LANGCHAIN_API_KEY={Your LangChain API Key here}

For custom OpenAI-compatible APIs (e.g., local models, other providers), you can also set:

bash

    export OPENAI_BASE_URL={Your custom API base URL here}

Install dependencies and start the server:

bash

    pip install -r requirements.txt
    python -m uvicorn main:app --reload

For other setups (e.g., Poetry or virtual environments), check the Getting Started page.