CME Prediction Markets MCP Server

# CME Prediction Markets MCP Server Complete MCP server for verifying claims against CME prediction market data. ## Features - **MCP Protocol Support**: Full implementation of Model Context Protocol - **Data Infrastructure**: Automated CME data ingestion with PostgreSQL/TimescaleDB - **Claim Verification**: NLP-powered claim parsing and verification - **Slack Integration**: Real-time claim verification via Slack bot - **Caching Layer**: Redis-based caching for performance - **Async Architecture**: Built on FastAPI with async/await throughout ## Quick Start ### Prerequisites - Python 3.11+ - PostgreSQL 15+ (with TimescaleDB) - Redis 7+ - Docker & Docker Compose (optional) ### Installation 1. Clone the repository 2. Copy `.env.example` to `.env` and configure 3. Install dependencies: ```bash poetry install ``` 4. Initialize database: ```bash poetry run python scripts/init_db.py ``` 5. Run the server: ```bash poetry run uvicorn src.main:app --reload ``` ### Docker Deployment ```bash docker-compose up -d ``` ## MCP Tools ### query_trading_data Query historical trading data for contracts. ```json { "contract_symbol": "BTC_95000_YES", "start_time": "2024-12-01T00:00:00Z", "end_time": "2024-12-16T00:00:00Z" } ``` ### verify_claim Verify natural language claims against data. ```json { "claim_text": "Bitcoin reached 95 cents on December 15" } ``` ### get_contract_info Get detailed contract information. ```json { "contract_symbol": "BTC_95000_YES" } ``` ## Testing ```bash poetry run pytest ``` ## License MIT