How to Use the API-Football MCP in LangChain

Build complex reasoning chains in LangChain with real-time match data from the API-Football MCP Server.

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Connect API-Football MCP to LangChain

Create your Vinkius account to connect API-Football to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup API-Football with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate match data pipelines in LangChain

Chain your agents to pull live scores and standings without manual input. Your LangChain agents use `get_fixtures` or `list_live_fixtures` to trigger downstream logic automatically. Connecting these tools creates a loop where match results dictate the next step. You define the sequence once and let the agent handle the logic.

Track player performance metrics

Fetch precise player statistics using `get_player_info` to populate your custom data structures. You get raw data directly from the source into your pipeline. Pass these outputs into a vector store or a database for long-term analysis. Your LangChain flow maintains full observability throughout the process.

Query football league structures

Use `list_leagues` to map out available competitions before running deeper analysis. You avoid guesswork by letting the agent discover the league IDs first. This MCP Server provides the foundation for your data-heavy agents. Everything stays within your existing LangChain architecture.

Setup guide

Set up API-Football MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes API-Football tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "api-football-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent API-Football transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API-Football. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about API-Football MCP in LangChain

Install the necessary adapters and initialize the MultiServerMCPClient. Point the URL to your Vinkius endpoint and inject the tools into your agent constructor.

Yes, it is designed for multi-step tasks. You can chain a league search with a specific fixture lookup in a single execution flow.

The server remains stateless by default. Use a session object within your client if you need to keep context between different turns.

Your data stays private through our V8 isolate sandbox. We only transmit the raw match records required for your specific agent requests.

You can monitor every tool call through LangSmith tracing. This lets you see the exact round-trip time for every fixture or standings request.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.