Benchmark Server

MCP Server with Industry Benchmarking Tool - Compatible with both Claude and ChatGPT.

Features

• 📊 Industry Benchmarking Tool: Compare company metrics against industry averages
• 🎨 Interactive Widget: Visual bar chart comparison (MCP Apps)
• 🔄 Dual Transport: Supports both SSE and Streamable HTTP
• ✅ Cross-Platform: Works with Claude.ai and ChatGPT

Quick Start

With Poetry (Recommended)

# Install dependencies
poetry install

# Start server
poetry run python main.py

With pip

# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows

# Install dependencies
pip install mcp>=1.26.0 uvicorn pydantic

# Start server
python main.py

Endpoints

Endpoint	Transport	Use For
/sse	SSE	Claude, ChatGPT (via ngrok)
/v1/mcp	Streamable HTTP	ChatGPT native
/mcp	Streamable HTTP	Alias

Usage with ngrok

# Start ngrok
ngrok http 8000

# Use the ngrok URL in Claude/ChatGPT:
# https://your-ngrok-url/sse

Project Structure

claude-mcp-app/
├── app/
│   ├── service/
│   │   ├── mcp_server.py         # FastMCP instance
│   │   ├── data/                 # Mock benchmark data
│   │   ├── tools/                # MCP tools
│   │   │   ├── benchmarking_tool.py
│   │   │   └── benchmarking_widget.py
│   │   └── widgets/              # HTML widgets
│   │       └── benchmarking_widget.html
├── common/
│   └── config.py                 # Configuration
├── main.py                       # Entry point
├── pyproject.toml               # Poetry config
└── README.md

Example Prompts

• "How does my restaurant's $45,000 yearly profit compare to the industry average in California?"
• "Compare my retail business revenue of $500,000 against industry benchmarks in Texas"
• "Benchmark my healthcare company's monthly income of $80,000 against regional averages"
• "How does my construction company in NY with $600,000 annual revenue compare?"

License

MIT