{
  "mcpServers": {
    "nfl-transactions": {
      "command": "python server.py",
      "env": {}
    }
  }
}

# Run the MCP server via Cursor
cursor run-mcp nfl-transactions

{
  "jsonrpc": "2.0",
  "method": "fetch_transactions",
  "params": {
    "start_date": "2023-01-01",
    "end_date": "2023-12-31",
    "transaction_type": "Injury",
    "team": "Patriots"
  },
  "id": 1
}

{
  "jsonrpc": "2.0",
  "method": "list_teams",
  "id": 2
}

{
  "jsonrpc": "2.0",
  "method": "list_transaction_types",
  "id": 3
}

# Example of an agent calling the MCP
import json
import subprocess

def call_mcp(method, params=None):
    request = {
        "jsonrpc": "2.0",
        "method": method,
        "params": params or {},
        "id": 1
    }
    
    # Call the MCP via cursor
    cmd = ["cursor", "run-mcp", "nfl-transactions"]
    proc = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, text=True)
    
    # Send the request and get the response
    response, _ = proc.communicate(json.dumps(request))
    return json.loads(response)

# Example: Get Patriots injury transactions from 2023
result = call_mcp("fetch_transactions", {
    "start_date": "2023-01-01",
    "end_date": "2023-12-31",
    "transaction_type": "Injury",
    "team": "Patriots"
})

print(f"Found {len(result['data'])} transactions")