Nhl MCP Python

NHL MCP Server (Python)

A Model Context Protocol (MCP) server that provides access to NHL live data and statistics through natural language queries. This is an idiomatic Python implementation of the NHL MCP server.

Features

• Live Game Data: Get real-time scores, game status, and schedules
• Team Statistics: Access comprehensive team performance data
• Player Statistics: Query top players by various categories (points, goals, assists, etc.)
• Goalie Statistics: Specialized goalie metrics including save percentage and GAA
• Standings: Current NHL standings with filtering by division or conference
• Head-to-Head Comparisons: Compare teams and analyze matchup history
• Streak Analysis: Track team winning/losing streaks
• Season Comparisons: Compare statistics across multiple NHL seasons
• Playoff Data: Access playoff brackets and series information

Installation

From Source

1. Clone this repository
2. Install dependencies:

cd nhl-mcp-python
pip install -e .

Using pip (once published)

pip install nhl-mcp-server

Usage

Running the Server

The server communicates via stdio and is designed to be used with MCP clients:

python -m nhl_mcp.server

Or if installed via pip:

nhl-mcp-server

Configuration

Add to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "nhl": {
      "command": "python",
      "args": ["-m", "nhl_mcp.server"]
    }
  }
}

Or if using a virtual environment:

{
  "mcpServers": {
    "nhl": {
      "command": "/path/to/venv/bin/python",
      "args": ["-m", "nhl_mcp.server"]
    }
  }
}

Available Tools

get_live_games

Get live NHL game scores and status for today or a specific date.

Parameters:

• date (optional): Date in YYYY-MM-DD format

Example:

Get today's NHL scores
Show me games on 2024-03-15

get_game_details

Get detailed information about a specific game including play-by-play data.

Parameters:

• gameId (required): The NHL game ID

Example:

Get details for game 2024020123

get_standings

Get current NHL standings with optional filtering.

Parameters:

• date (optional): Date in YYYY-MM-DD format
• division (optional): Atlantic, Metropolitan, Central, or Pacific
• conference (optional): Eastern or Western

Example:

Show me the Atlantic division standings
Get Eastern conference standings

get_team_stats

Get detailed statistics for a specific NHL team.

Parameters:

• teamAbbrev (required): Team abbreviation (e.g., TOR, NYR, BOS)
• season (optional): Season in format YYYYYYYY (e.g., 20242025)

Example:

Get Toronto Maple Leafs stats
Show me Boston Bruins statistics

get_player_stats

Get statistics for top NHL players.

Parameters:

• category (optional): points, goals, assists, plusMinus, shots, shootingPctg
• limit (optional): Number of players to return (default: 20)
• season (optional): Season in format YYYYYYYY

Example:

Show me top goal scorers
Get top 10 players by points

get_goalie_stats

Get statistics for NHL goalies.

Parameters:

• limit (optional): Number of goalies to return (default: 20)
• season (optional): Season in format YYYYYYYY

Example:

Show me top goalies
Get top 15 goalies by save percentage

get_schedule

Get NHL schedule for upcoming games.

Parameters:

• date (optional): Date in YYYY-MM-DD format
• teamAbbrev (optional): Team abbreviation for specific team schedule

Example:

Show me the Maple Leafs schedule
Get NHL schedule for next week

get_playoff_bracket

Get current playoff bracket information.

Parameters:

• season (optional): Season year (e.g., 2024)

Example:

Show me the current playoff bracket
Get 2024 playoff bracket

compare_teams

Compare head-to-head statistics between two teams.

Parameters:

• team1 (required): First team abbreviation
• team2 (required): Second team abbreviation
• season (optional): Season in format YYYYYYYY

Example:

Compare Toronto and Montreal
Show me Bruins vs Rangers head to head

get_team_streak

Get current winning or losing streak for a team.

Parameters:

• teamAbbrev (required): Team abbreviation

Example:

What's the Maple Leafs current streak?
Show me Boston's win/loss streak

compare_seasons

Compare statistics across multiple NHL seasons.

Parameters:

• seasons (required): Array of seasons to compare
• teamAbbrev (optional): Team abbreviation for team-specific comparison

Example:

Compare the 2023-24 and 2024-25 seasons for Toronto
Compare league stats between 20232024 and 20242025

Team Abbreviations

Common NHL team abbreviations:

• Atlantic: TOR (Toronto), BOS (Boston), MTL (Montreal), TBL (Tampa Bay), FLA (Florida), OTT (Ottawa), DET (Detroit), BUF (Buffalo)
• Metropolitan: NYR (Rangers), NYI (Islanders), CAR (Carolina), NJD (New Jersey), PHI (Philadelphia), PIT (Pittsburgh), WSH (Washington), CBJ (Columbus)
• Central: COL (Colorado), DAL (Dallas), MIN (Minnesota), WPG (Winnipeg), NSH (Nashville), STL (St. Louis), ARI (Arizona), CHI (Chicago)
• Pacific: VGK (Vegas), EDM (Edmonton), LAK (Los Angeles), SEA (Seattle), CGY (Calgary), VAN (Vancouver), SJS (San Jose), ANA (Anaheim)

API Data Sources

This server interfaces with the official NHL APIs:

• api-web.nhle.com - Primary data source for games, standings, and schedules
• api.nhle.com/stats/rest - Statistics and player data

Development

Requirements

• Python 3.10 or higher
• Dependencies listed in requirements.txt

Project Structure

nhl-mcp-python/
├── src/
│   └── nhl_mcp/
│       ├── __init__.py
│       ├── __main__.py
│       ├── server.py      # Main MCP server implementation
│       └── nhl_api.py     # NHL API client with type models
├── pyproject.toml
├── requirements.txt
└── README.md

Code Style

This implementation follows Python best practices:

• Type hints throughout using Python 3.10+ syntax
• Pydantic models for data validation
• Async/await for all I/O operations
• Snake_case naming conventions
• Comprehensive docstrings

Testing

# Install development dependencies
pip install -e ".[dev]"

# Run tests (if you add them)
pytest

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.