BookMarket Research MCP Server Agent

An agentic Market Research Model Context Protocol (MCP) server for Digital, Audio, Print-on-Demand (POD), and Ebook publishing analytics.

Built with Python, FastMCP, Supabase, Airtable, Hugging Face, GitHub, DuckDuckGo Search, and Gemini API.

🛠️ Features

• DuckDuckGo Search integration to perform live queries on market trends, competitor titles, and publisher dynamics.

• Gemini API processing to clean, categorize, and synthesize raw search data into formatted intelligence reports.

• Supabase storage to store reports persistently in a SQL table.

• Airtable Logging to track campaigns and research jobs.

• Hugging Face Hub integration to push research datasets or models directly.

• GitHub commits to push final markdown reports straight to git repositories.

Related MCP server: RivalSearchMCP

⚙️ Configuration

Copy .env.example to .env and fill in the required credentials:

cp .env.example .env

GEMINI_API_KEY=your_gemini_api_key
SUPABASE_URL=your_supabase_url
SUPABASE_KEY=your_supabase_key
AIRTABLE_PAT=your_airtable_personal_access_token
HF_TOKEN=your_hf_write_token
GITHUB_TOKEN=your_github_token

🚀 Usage

1. Installation

Install all required Python dependencies:

pip install -r requirements.txt

2. Run the MCP Server (stdio)

You can run the server directly using python:

python mcp_server.py

3. Registering with Gemini CLI

To load this server in the Gemini CLI, use the gemini mcp add command:

gemini mcp add bookmarket python /home/brettanthonysjoberg079/brettapps/bookmarket/agent/mcp_server.py