AltSportsData MCP Server
MCP-compatible server that gives AI agents access to alternative sports data across 30+ leagues — odds, events, probabilities, settlement, and futures for prediction markets, DFS platforms, and sportsbooks.
Quick Start
# Install
cd apps/altsportsdata-mcp
uv pip install -e ../altsportsdata-sdk
uv pip install -e .
# Run (stdio)
ALTSPORTSDATA_API_KEY=your_key altsportsdata-mcp
# Run (HTTP/SSE)
ALTSPORTSDATA_API_KEY=your_key altsportsdata-mcp --sse --port 8080
Connect to Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"altsportsdata": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/altsportsdata-mcp",
"python",
"-m",
"altsportsdata_mcp.server"
],
"env": {
"ALTSPORTSDATA_API_KEY": "your_api_key"
}
}
}
}
Restart Claude Desktop. The 29 tools will appear in the tool picker (🔧 icon).
Connect to Claude Code (CLI)
Claude Code discovers MCP servers from .mcp.json in your project root:
{
"mcpServers": {
"altsportsdata": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/altsportsdata-mcp",
"python",
"-m",
"altsportsdata_mcp.server"
],
"env": {
"ALTSPORTSDATA_API_KEY": "your_api_key"
}
}
}
}
Or register globally:
claude mcp add altsportsdata \
--command "uv" \
--args "run" "--directory" "/path/to/altsportsdata-mcp" "python" "-m" "altsportsdata_mcp.server" \
--env ALTSPORTSDATA_API_KEY=your_api_key
Verify with:
claude mcp list
Connect to Cursor
Cursor supports MCP servers via its settings. Two options:
Option A: Project-level (.cursor/mcp.json)
Create .cursor/mcp.json in your project root:
{
"mcpServers": {
"altsportsdata": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/altsportsdata-mcp",
"python",
"-m",
"altsportsdata_mcp.server"
],
"env": {
"ALTSPORTSDATA_API_KEY": "your_api_key"
}
}
}
}
Option B: Global (Cursor Settings)
- Open Cursor → Settings → MCP
- Click Add new MCP server
- Enter:
- Name:
altsportsdata - Command:
uv run --directory /path/to/altsportsdata-mcp python -m altsportsdata_mcp.server
- Name:
- Add environment variable
ALTSPORTSDATA_API_KEY
Option C: SSE/HTTP (Remote)
Run the server with HTTP transport:
ALTSPORTSDATA_API_KEY=your_key altsportsdata-mcp --sse --port 8080
Then in .cursor/mcp.json:
{
"mcpServers": {
"altsportsdata": {
"url": "http://localhost:8080/mcp"
}
}
}
This also works for any MCP client that supports HTTP/SSE transport (Windsurf, Continue, etc.).
Connect to OpenClaw
Add to your OpenClaw config (openclaw config edit):
mcp:
servers:
altsportsdata:
command: uv
args:
- run
- --directory
- /path/to/altsportsdata-mcp
- python
- -m
- altsportsdata_mcp.server
env:
ALTSPORTSDATA_API_KEY: your_api_key
Installation via npm/PyPI (coming soon)
# When published to PyPI
pip install altsportsdata-mcp
# When published to npm (npx wrapper)
npx altsportsdata-mcp
Environment Variables
| Variable | Required | Description |
|---|---|---|
ALTSPORTSDATA_API_KEY |
Yes | Your AltSportsData API key |
ALTSPORTSDATA_BASE_URL |
No | Override API base URL |
ODDS_FORMAT |
No | Default odds format: american (default), decimal, probability |
Tools (29)
Discovery
| Tool | Description |
|---|---|
list_leagues |
List all 27+ alternative sports leagues with archetypes and markets |
get_league_info |
Detailed league info — archetype, data shape, contract hints, market menu |
get_market_catalog |
Browse market types by league or archetype |
Events
| Tool | Description |
|---|---|
get_events |
List events with filters (league, status, date range, sort) |
get_event |
Single event details |
get_event_summary |
Comprehensive event summary with participants and market overview |
get_participants |
Competitors/athletes for an event |
Odds & Markets
| Tool | Description |
|---|---|
get_odds |
Get odds for any market type (17 types supported) |
get_all_markets |
All available markets for an event in one call |
get_moneylines |
Winner/moneyline odds |
get_matchups |
Head-to-head matchup odds |
get_totals |
Over/under totals |
get_player_props |
Player prop bets |
get_exactas |
Exacta combinations (2, 3, or 4 way) |
get_podiums |
Podium finish odds |
get_heat_winners |
Heat/round winner odds |
get_fastest_lap |
Fastest lap odds (racing) |
Analytics & Probabilities
| Tool | Description |
|---|---|
get_market_probabilities |
Implied win probabilities (vig-removed) |
get_fair_probabilities |
Fair probabilities for any market type |
get_favorites |
Top N favorites by odds |
calculate_sgp |
Same Game Parlay probability calculator |
convert_odds |
Convert between American, decimal, and probability formats |
Settlement & Results
| Tool | Description |
|---|---|
get_settlement |
Settlement/grading data for completed events |
get_settled_results |
Final results and standings |
Futures
| Tool | Description |
|---|---|
list_futures |
Available futures markets |
get_futures_odds |
Season futures odds (winner, top 2/3/5/10) |
Specialty
| Tool | Description |
|---|---|
get_jaialai_matches |
Jai Alai match and set details |
get_jaialai_odds |
Jai Alai odds |
get_heat_scores |
Scores/lap times for a specific heat or round |
MCP Resources
Static resources for context injection:
| URI | Description |
|---|---|
altsportsdata://leagues |
All leagues with metadata |
altsportsdata://leagues/{code} |
Single league details |
altsportsdata://catalog |
Full market catalog |
Supported Leagues
27+ alternative sports including:
| Category | Leagues |
|---|---|
| Surf/Skate | WSL (Surfing), SLS (Skateboarding) |
| Racing | F1, MotoGP, Supercross, Nitrocross, NHRA, Formula Drift, MotoAmerica, USAC, High Limit Racing, World Outlaws, Super Motocross |
| Combat | BKFC, Power Slap, BYB Extreme, LUX Fight League, Real American Freestyle |
| Team | MASL (Arena Soccer), NLL (Lacrosse), Athletes Unlimited, Goal Soccer |
| Precision | Disc Golf (DGPT), World Jai Alai |
| Multi | X Games, Major League Table Tennis |
API Reference
This MCP server wraps the AltSportsData Public API.
- Swagger/OpenAPI: https://api.altsportsdata.com/public/docs/swagger
- Documentation: https://api.altsportsdata.com/public/docs/
License
MIT
Metadata
Release files for altsportsdata-mcp 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| altsportsdata_mcp-1.0.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| altsportsdata_mcp-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.7 kB
Release files / altsportsdata_mcp-1.0.0.tar.gz
| Download URL | altsportsdata_mcp-1.0.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|
Release files / altsportsdata_mcp-1.0.0-py3-none-any.whl
| Download URL | altsportsdata_mcp-1.0.0-py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
a7ff62ce0cf64bfa6c141d0991c121f0ad61f9f0af89eaa7e2eeccdc9559319c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
|