Obinopaul Soccer MCP Server
O

Obinopaul Soccer MCP Server

A Python-based football data service that provides real-time data and historical statistics of global football leagues, teams, and players through the API-Football interface.
2.5 points
9.2K

What is the Soccer MCP Server?

The Soccer MCP Server is an intermediate layer that connects applications with football data services, providing developers, data analysts, and football fans with comprehensive access to football match data. It encapsulates the complex details of the API-Football API and offers simple and easy-to-use interfaces to obtain data on leagues, teams, players, and matches.

How to use the Soccer MCP Server?

To use this service, you need to obtain an API key for the API-Football API from RapidAPI first. After installation, you can call various commands to get a variety of football data, such as league standings, team schedules, and player statistics.

Use cases

It is suitable for various scenarios, including the development of football data analysis applications, the generation of content for sports news websites, the expansion of functions for football fan communities, and the training of match prediction models.

Main features

League data
Get league IDs, standings, schedules, and basic information, with support for filtering by country and season.
Team data
Query team information, schedules, and historical matches, with the ability to filter by date range.
Player data
Get player IDs, profiles, and detailed statistics, with support for multi-season queries.
Match data
Get match statistics, event timelines, and real-time data, with support for batch queries.
Real-time data
Get real-time data and event timelines for ongoing matches.
Advantages
Get comprehensive football data in one stop without directly dealing with multiple APIs.
Simplify the complex interfaces of API-Football and provide more user-friendly functions.
Support batch queries and various filtering conditions.
Real-time data is updated promptly.
Limitations
It depends on the third - party API-Football service and is limited by the accuracy and availability of its data.
Requires a RapidAPI subscription and a valid API key.
The free version of the API may have call frequency limits.

How to use

Get an API key
Register an account on RapidAPI and subscribe to the API-Football service to obtain an API key.
Set environment variables
Set the obtained API key as the environment variable RAPID_API_KEY_FOOTBALL.
Install dependencies
Install the necessary Python dependency packages.
Start the server
Run the Python script to start the MCP server.

Usage cases

Get the Premier League standings
Query the current standings of the Premier League in the 2023 season.
Query Messi's season data
Get Messi's detailed statistics in the 2022 and 2023 seasons.
Check Liverpool's real-time match
Check if Liverpool has a match currently in progress.

Frequently Asked Questions

How to get an API key for API-Football?
What are the limitations of the free version of the API?
What is the data update frequency?
Which leagues and matches are supported?

Related resources

API-Football official documentation
Official documentation and API reference for the API-Football service.
RapidAPI registration
Register a RapidAPI account and get an API key.
GitHub repository
Project source code and latest updates.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "soccer_server": {
      "command": "docker",
      "args": [
        "exec",
        "-i",
        "soccer_server",
        "python",
        "soccer_server.py"
      ],
      "env": {
        "RAPID_API_KEY_FOOTBALL": "your_api_key_here"
      }
    }
  }
}

{
  "mcpServers": {
    "soccer_server": {
      "command": "/path/to/your/python",
      "args": [
        "/path/to/soccer_server.py"
      ],
      "env": {
        "RAPID_API_KEY_FOOTBALL": "your_api_key_here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
10.0K
5 points
M
Maverick MCP
MaverickMCP is a personal stock analysis server based on FastMCP 2.0, providing professional level financial data analysis, technical indicator calculation, and investment portfolio optimization tools for MCP clients such as Claude Desktop. It comes pre-set with 520 S&P 500 stock data, supports multiple technical analysis strategies and parallel processing, and can run locally without complex authentication.
Python
9.6K
4 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
18.5K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.8K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
11.8K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
16.3K
4 points
V
Video Editing MCP
Video Editor MCP is a video editing server that provides video upload, search, generation, and editing functions, supporting operations through the LLM and Video Jungle platforms.
Python
15.2K
4 points
B
Bilibili MCP Js
Certified
A Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.
TypeScript
17.6K
4.2 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.2K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
23.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.7K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
60.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
29.7K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
20.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
90.3K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase