MCP NLP Analytics Hackathon Delivery

This Hugging Face Space hosts the Sentiment Evolution Tracker MCP server codebase. The project powers a conversational analytics workflow that enriches customer support teams with local NLP, risk forecasting, and Model Context Protocol tools.

How to Run Locally

1. Clone the repository from GitHub or this Space.
2. Install dependencies with pip install -r requirements.txt.
3. Run python init_db.py followed by python tools/populate_demo_data.py.
4. Launch the MCP server with python src/mcp_server.py and connect from Claude Desktop using the provided config/claude_desktop_config.json.

For a full walkthrough consult README.md and the documentation set inside the docs/ directory.

Key Resources

• Project README
• Quick Start Guide
• Architecture Overview
• Executive Summary
• Demo Video (YouTube)
• LinkedIn Announcement

This Space is configured as Static to expose the full MCP code submission required for the Anthropic MCP 1st Birthday Hackathon.