A Model Context Protocol server for accessing our Fantasy NBA League statistics and rankings
Project description
Fantasy NBA Israel League MCP
A Model Context Protocol (MCP) server that provides tools for accessing our Fantasy NBA Israel League statistics and rankings.
Description
This MCP server connects to a specific Fantasy NBA League API (Fantasy NBA Israel League) and provides tools to retrieve team rankings, player statistics, and detailed analytics.
Note: This server is configured for a specific private league and connects to its dedicated API endpoint. It is not a general-purpose tool for any Fantasy NBA league - it's designed specifically for our league's data structure and API.
Features
- Get Average League Rankings: Retrieve team rankings with detailed statistics
- Sort in ascending or descending order
- Detailed stats per category (FG%, FT%, 3PM, AST, REB, STL, BLK, PTS, GP)
- Total points and rank for each team
- Get Teams: Retrieve list of all teams in the league
- Get Average Stats: Get team statistics in a user-friendly format with stats mapped by category
- Option to retrieve raw or normalized (0-1 scale) data
- Includes games played (GP) for each team
- Get Team Details: Retrieve comprehensive details for a specific team
- Team statistics (totals and averages)
- Complete roster with player stats including minutes played
- ESPN team page URL
- Shot chart stats and ranking information
- Category ranks across all statistical categories
- Get All Players: Retrieve all players in the league with comprehensive statistics
- Includes minutes played and games played for each player
- Get League Shots Stats: Retrieve league-wide shooting statistics for all teams
Prerequisites
Before using this MCP server, you'll need:
-
uvoruvx: A fast Python package installer and runner- Install from https://docs.astral.sh/uv/
- On macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh - On Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
-
An MCP-compatible client: Choose one of the following or similar:
- Claude Desktop - AI assistant with MCP support
- Cursor - AI-powered code editor
- VSCode with GitHub Copilot Chat
- Cline - VSCode extension for AI assistance
- Any other MCP-compatible application
Usage
As an MCP Server
This server works with any MCP-compatible client (Claude Desktop, Cursor, Cline, VSCode with GitHub Copilot Chat, etc.). Add the following configuration to your client's MCP settings file:
{
"mcpServers": {
"fantasynbaleague": {
"command": "uvx",
"args": ["fantasy-nba-israel-mcp@latest"]
}
}
}
Common configuration file locations:
- Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json(macOS) or%APPDATA%\Claude\claude_desktop_config.json(Windows) - Cursor:
.cursor/mcp.jsonin your project or global settings - Cline: Use the MCP settings UI or edit
cline_mcp_settings.json - VSCode:
.vscode/mcp.jsonin your workspace
Local Development
For local development and testing, you can run the MCP server in development mode:
uv run mcp dev fantasy_nba_israel_mcp/server.py
This will start an interactive MCP inspector where you can test your tools.
Standalone Testing
from fantasy_nba_israel_mcp import mcp
# Run the MCP server
if __name__ == "__main__":
mcp.run()
Or run directly:
python -m fantasy_nba_israel_mcp
Available Tools
getAveragesLeagueRankings
Get the average league rankings from the API.
Parameters:
order(str, optional): Sort order for rankings"desc"= best to worst (top teams first) - Default"asc"= worst to best (bottom teams first)
Returns: A list of teams with their rankings, total points, and stats per category.
Example Response:
[
{
"team": {
"team_id": 1,
"team_name": "Team Name"
},
"fg_percentage": 0.456,
"ft_percentage": 0.789,
"three_pm": 12.5,
"ast": 24.3,
"reb": 45.6,
"stl": 8.2,
"blk": 5.4,
"pts": 112.3,
"gp": 55,
"total_points": 36,
"rank": 1
}
]
getTeams
Get the list of all teams in the league.
Parameters: None
Returns: A list of teams with their IDs and names.
Example Response:
[
{
"team_id": 1,
"team_name": "First team example"
},
{
"team_id": 2,
"team_name": "Another team name"
}
]
getAverageStats
Get average stats for all teams in a user-friendly format with stats mapped by category name.
Parameters:
use_normalized(bool, optional): Iftrue, returns normalized data (0-1 scale). Iffalse, returns raw stat values. Default isfalse.
Returns: A list of teams with their stats mapped by category name.
Example Response:
[
{
"team": {
"team_id": 1,
"team_name": "First team example"
},
"stats": {
"FG%": 0.48532033,
"FT%": 0.80961071,
"3PM": 1.71184371,
"AST": 4.28449328,
"REB": 6.75579976,
"STL": 1.13919414,
"BLK": 0.72405372,
"PTS": 17.5970696,
"GP": 55
}
}
]
getTeamDetails
Get comprehensive details for a specific team including statistics, roster, and rankings.
Parameters:
team_id(int): The ID of the team to get details for
Returns: Comprehensive team information including team stats, ESPN URL, shot chart, rankings, and full roster.
Example Response:
{
"team": {
"team_id": 1,
"team_name": "Team Name"
},
"espn_url": "https://fantasy.espn.com/basketball/team?leagueId=123&teamId=1",
"shot_chart": {
"team": {"team_id": 1, "team_name": "Team Name"},
"fgm": 14,
"fga": 23,
"fg_percentage": 0.608,
"ftm": 7,
"fta": 12,
"ft_percentage": 0.583,
"gp": 2
},
"raw_averages": {
"fg_percentage": 0.608,
"ft_percentage": 0.583,
"three_pm": 0.5,
"ast": 4.5,
"reb": 5.5,
"stl": 1.0,
"blk": 0.5,
"pts": 18.0,
"gp": 2,
"team": {"team_id": 1, "team_name": "Team Name"}
},
"ranking_stats": {
"team": {"team_id": 1, "team_name": "Team Name"},
"fg_percentage": 12.0,
"ft_percentage": 5.0,
"three_pm": 5.0,
"ast": 8.0,
"reb": 7.0,
"stl": 6.0,
"blk": 9.0,
"pts": 9.0,
"gp": 2,
"total_points": 61.0,
"rank": 6
},
"category_ranks": {
"FG%": 12,
"FT%": 5,
"3PM": 5,
"AST": 8,
"REB": 7,
"STL": 6,
"BLK": 9,
"PTS": 9
},
"players": [
{
"player_name": "LeBron James",
"pro_team": "LAL",
"positions": ["SF", "PF"],
"stats": {
"pts": 25.4,
"reb": 7.3,
"ast": 7.4,
"stl": 1.3,
"blk": 0.5,
"fgm": 9.5,
"fga": 18.5,
"ftm": 4.8,
"fta": 6.3,
"fg_percentage": 0.513,
"ft_percentage": 0.762,
"three_pm": 2.1,
"minutes": 35.2,
"gp": 55
},
"team_id": 1
}
]
}
getAllPlayers
Get all players in the league with comprehensive statistics.
Parameters: None
Returns: A list of all players with their stats and team association.
Example Response:
[
{
"player_name": "LeBron James",
"pro_team": "LAL",
"positions": ["SF", "PF"],
"team_id": 1,
"stats": {
"pts": 25.4,
"reb": 7.3,
"ast": 7.4,
"stl": 1.3,
"blk": 0.5,
"fgm": 9.5,
"fga": 18.5,
"ftm": 4.8,
"fta": 6.3,
"fg_percentage": 0.513,
"ft_percentage": 0.762,
"three_pm": 2.1,
"minutes": 35.2,
"gp": 55
}
}
]
getLeagueShotsStats
Get league-wide shooting statistics for all teams.
Parameters: None
Returns: League-wide shooting statistics with field goal and free throw data for each team.
Example Response:
{
"shots": [
{
"team": {
"team_id": 1,
"team_name": "Team Name"
},
"fgm": 14,
"fga": 23,
"fg_percentage": 0.608,
"ftm": 7,
"fta": 12,
"ft_percentage": 0.583,
"gp": 2
},
{
"team": {
"team_id": 2,
"team_name": "Another Team"
},
"fgm": 12,
"fga": 20,
"fg_percentage": 0.600,
"ftm": 8,
"fta": 10,
"ft_percentage": 0.800,
"gp": 2
}
]
}
Requirements
- Python >= 3.10
- httpx >= 0.28.1
- mcp[cli] >= 1.18.0
Development
To run the server locally for development and testing:
# Install dependencies
uv sync
# Run in development mode with MCP inspector
uv run mcp dev fantasy_nba_israel_mcp/server.py
The MCP inspector will provide an interactive interface to test all your tools.
Author
Asaf Shai (asafshai211@gmail.com)
Support
For issues and questions, please open an issue on the GitHub repository.
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