NFL Transactions MCP

A Modular Command-line Program (MCP) for scraping NFL transaction data from ProSportsTransactions.com.

Features

• Fetch NFL transactions with flexible filtering options:
  • Player/Coach/Executive movement (trades, free agent signings, draft picks, etc.)
  • Movements to/from injured reserve
  • Movements to and from minor leagues (NFL Europe)
  • Missed games due to injuries
  • Missed games due to personal reasons
  • Disciplinary actions (suspensions, fines, etc.)
  • Legal/Criminal incidents
• Filter by team, player, date range, and transaction type
• Output data in CSV, JSON, or DataFrame format
• List all NFL teams and transaction types

Installation

# Clone the repository
git clone 
cd nfl_transactions_mcp

# Install requirements
pip install -r requirements.txt

Usage with Cursor

To use this MCP with Cursor, add the following configuration to your .cursor/mcp.json file:

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

Running the MCP Directly

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

Available Tools

1. fetch_transactions

Fetches NFL transactions based on specified filters.

Parameters:

• start_date (required): Start date in YYYY-MM-DD format
• end_date (required): End date in YYYY-MM-DD format
• transaction_type (optional, default: "All"): Type of transaction to filter
• team (optional): Team name
• player (optional): Player name
• output_format (optional, default: "json"): Output format (csv, json, or dataframe)

Example:

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

2. list_teams

Lists all NFL teams available for filtering.

Example:

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

3. list_transaction_types

Lists all transaction types available for filtering.

Example:

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

Integration with Super Agents

This MCP is designed to be easily integrated with AI agents or super agents. An agent can make JSON-RPC requests to interact with this MCP and retrieve NFL transaction data based on user queries.

Example agent integration:

# 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")

License

MIT License