Built on top of the Model Context Protocol Python SDK
Python server implementing Model Context Protocol (MCP) for interactability with real-time sports stats via SportRadar
- NFL
Note: Please check Development for adding more sport support
- Get game, league and player stats
- Get team rosters and schedules
- Get tournament info and player transactions
Note: The server will need an API key from SportRadar. Here is the instruction link
sports://seasonsched/{_cache}
: Season schedule cachesports://leaguetransactions/{_cache}
: League transactions cache / parsersports://gamestats/{_cache}
: Game stats cachesports://leaguestats/{_cache}
: League stats cachesports://teamstats/{_cache}
: Team stats cachesports://playerstats/{_cache}
: Player stats cache
- update_api_config
- Update SportRadar's API configuration settings
- Args
- language (str)
- access_level (str) -> trial or production api key
- format (str) -> data return format (JSON or XML)
- get_schedule
- Gets a specific week schedule for the sport given
- Args
- sport (str)
- week (int)
- type (str) -> type of season (PRE, REG, PST)
- year (int)
- get_daily_transactions
- Gets info on transactions done in sports teams throughout the year
- Args
- year (int)
- month (int)
- day (int)
- sport (str)
- get_game_stats
- Gets statistical info on a specific sports game using it's ID
- Args
- game_id (str)
- sport (str)
- get_league_info
- Gets top-level info about each team in the sport provided
- Args
- sport (str)
- get_team_roster
- Gets franchise team info + complete roster of players in the sport provided
- Args
- team_id (str)
- sport (str)
- get_tournament_list
- Gets lists of tournaments that are happening for the sport in that year
- Args
- sport (str)
- year (int)
- get_tournament_info
- Gets information of a tournament that is happening for the sport
- Args
- tournament_id (str)
- sport (str)
- get_player_stats
- Gets top-level info about each player in the sport provided
- Args
- sport (str)
- player_id (str)
- get_address
- When given coordinates (lat and lon), find the address
- Args
- lat (float)
- lon (float)
-
First, install the package:
pip install mcp-sports-server
-
Add this to your
claude_desktop_config.json
{
"mcpServers": {
"sports": {
"command": "mcp-sports-server",
"args": ["--api-key", "your_api_key"]
}
}
}
As currently there is only NFL support. If there is enough interest more sports will be added.
If you want to create your own sport support, you can fork this repo and either make your own MCP server, or push changes to this current server.
Most of the code inside has DOCTYPE comments about how to add a new sport, essentially to add a new sport:
- Create a new Sport inside of
sportsclasses.py
- Update MCP Resources (more specifically the
parser_map
to include your sport parsing function) - Update MCP Tools as needed (you will need to update the Annotated parameters in tools)
This project is licensed under the MIT License - see the LICENSE file for details.