CME Prediction Markets MCP Server
Enables verification of natural language claims against CME prediction market data, with tools to query historical trading data, get contract information, and automatically verify claims using NLP-powered parsing.
README
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
- Clone the repository
- Copy
.env.exampleto.envand configure - Install dependencies:
poetry install
- Initialize database:
poetry run python scripts/init_db.py
- Run the server:
poetry run uvicorn src.main:app --reload
Docker Deployment
docker-compose up -d
MCP Tools
query_trading_data
Query historical trading data for contracts.
{
"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.
{
"claim_text": "Bitcoin reached 95 cents on December 15"
}
get_contract_info
Get detailed contract information.
{
"contract_symbol": "BTC_95000_YES"
}
Testing
poetry run pytest
License
MIT
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