sports-data-mcp-server
MCP-Server für Sportdaten — Fußball, Basketball, American Football, Eishockey und mehr für AI-Agents.
Features
- 11 Tools für umfassende Sportdaten
- Fußball: Bundesliga, Premier League, La Liga, Serie A, Champions League, MLS und mehr
- US-Sport: NBA, NFL, NHL, MLB
- Weitere Sportarten: ATP Tennis, Formel 1, Rugby
- Kostenlos: Kein API-Key erforderlich (TheSportsDB Free Tier)
Installation
pip install sports-data-mcp-server
Oder via uvx:
uvx sports-data-mcp-server
Claude Desktop Konfiguration
{
"mcpServers": {
"sports-data": {
"command": "uvx",
"args": ["sports-data-mcp-server"]
}
}
}
Tools
Fußball / Soccer
| Tool | Beschreibung |
|---|---|
search_team |
Team nach Name suchen |
get_team_last_results |
Letzte Ergebnisse eines Teams |
get_team_next_fixtures |
Nächste Spiele eines Teams |
get_league_table |
Liga-Tabelle abrufen |
search_player |
Spieler-Profil und Stats |
get_event_details |
Spiel-Details mit Highlight-Link |
Multi-Sport
| Tool | Beschreibung |
|---|---|
list_sports_leagues |
Alle unterstützten Ligen |
get_league_events |
Spiele einer Saison (NBA, NFL, etc.) |
search_sport_event |
Sportereignis nach Name suchen |
get_sport_statistics |
Ligen-Übersicht nach Sportart |
Beispiel-Nutzung
# Bundesliga-Tabelle
tabelle = await get_league_table("bundesliga", "2024-2025")
# Bayern München letzte Spiele
team = await search_team("Bayern Munich")
ergebnisse = await get_team_last_results(team["teams"][0]["id"], count=5)
# NBA letzte Spiele
nba = await get_league_events("nba", "2024-2025")
# Spieler-Profil
spieler = await search_player("Robert Lewandowski")
Unterstützte Ligen
Fußball
- Bundesliga (1. und 2.)
- Premier League
- La Liga
- Serie A
- Ligue 1
- Champions League
- Eredivisie, MLS, Primeira Liga
US-Sport
- NBA (Basketball)
- NFL (American Football)
- NHL (Ice Hockey)
- MLB (Baseball)
Weitere
- ATP Tennis
- Formel 1
- Rugby 6 Nations
Lizenz
MIT
Metadata
Release files for sports-data-mcp-server 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sports_data_mcp_server-0.1.0.tar.gz | 6.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sports_data_mcp_server-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.4 kB
Release files / sports_data_mcp_server-0.1.0.tar.gz
| Download URL | sports_data_mcp_server-0.1.0.tar.gz |
|---|---|
| Size | 6.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
570de5c6925b5ddfb78004b10422b865a9ed112beabc5ade257492ed08114c25
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.3
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Release files / sports_data_mcp_server-0.1.0-py3-none-any.whl
| Download URL | sports_data_mcp_server-0.1.0-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6cc99ecb8db81af37485281fa4934206dbd0fefae349969219d3a43b16f289f6
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.3
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