CME Prediction Markets MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CME Prediction Markets MCP Serververify if Bitcoin exceeded $95,000 on December 15th"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Polymarket MCP Server
Quick Start
Prerequisites
Python 3.11+
PostgreSQL 15+ (with TimescaleDB)
Redis 7+
Docker & Docker Compose (optional)
Installation
Clone the repository
Copy
.env.exampleto.envand configureInstall dependencies:
poetry installInitialize database:
poetry run python scripts/init_db.pyRun the server:
poetry run uvicorn src.main:app --reloadDocker Deployment
docker-compose up -dMCP 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 pytestLicense
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Calibrated world model for AI agents. 40 tools: world state, markets, trading. Kalshi + Polymarket.
Prediction market data and crowd-sourced probability forecasts
Verify claims with verdict, confidence & cited sources; batch verify, source checks, daily brief.
Machine-payable prediction-market briefs and probability-change monitoring for AI agents.
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