MCP-SoccerData is an open-source MCP server that provides live football match data, including scores, lineups, events, betting odds, and league info, using SoccerDataAPI for MCP-enabled clients.
Added on:
Created by:
Apr 25 2025
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What is MCP-SoccerData?
MCP-SoccerData is a Model Context Protocol server designed to deliver real-time football match data through natural language interactions. It interfaces with the SoccerDataAPI to provide detailed information on ongoing matches, including live scores, match status, key events, team lineups, betting odds, and league metadata. Built for MCP-compatible clients like Claude Desktop, it enables users to query current football match stats, historical results, and match insights efficiently. This platform is ideal for sports enthusiasts, analysts, and developers seeking accurate and instant football data for analysis, betting, or entertainment purposes.
Who will use MCP-SoccerData?
- Sports enthusiasts
- Football analysts
- Developers
- Betting companies
- MCP client users
How to use the MCP-SoccerData?
- Step1: Set up the environment with Python 3.12+ and SoccerDataAPI credentials.
- Step2: Clone the repository and install dependencies using uv sync.
- Step3: Configure the MCP client by registering the server with necessary paths and environment files.
- Step4: Launch the MCP server to enable real-time football data queries.
- Step5: Use MCP-compatible clients to interact and request football data.
MCP-SoccerData's Core Features & Benefits
The Core Features
- get_livescores() - Fetch real-time match information
- Match Listings & Basic Info
- Match Details
- Key Match Events
- Team Lineups
- Odds & Betting Information
- League Metadata
The Benefits
- Provides instant live football data
- Supports comprehensive match insights
- Easy integration with MCP clients
- Enhances sports data analysis and entertainment
MCP-SoccerData's Main Use Cases & Applications
- Real-time sports news updates
- Betting odds analysis
- Football match commentary and insights
- Sports analytics and visualization
- Fan engagement platforms
FAQs of MCP-SoccerData
Developer
- yeonupark