4,000+ servers built on vurb.ts
Vinkius

Football-Data.org MCP Server for LangChainGive LangChain instant access to 14 tools to Get Area, Get Competition, Get Competition Standings, and more

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Football-Data.org through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

The Football-Data.org MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "football-dataorg": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Football-Data.org, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Football-Data.org
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Football-Data.org MCP Server

Connect the Football-Data.org API to your AI agent to retrieve comprehensive football (soccer) data through natural language. Stay updated with live scores, historical results, and deep team analytics.

LangChain's ecosystem of 500+ components combines seamlessly with Football-Data.org through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • League Standings — Fetch real-time tables for the Premier League, La Liga, Bundesliga, Serie A, and more using get_competition_standings.
  • Match Tracking — Query upcoming fixtures or past results for specific competitions or teams with list_competition_matches and list_team_matches.
  • Top Scorers — Identify the leading goal scorers in any supported tournament using list_competition_scorers.
  • Team & Player Insights — Get detailed profiles, squad lists, and individual player performance history via get_team and get_player.
  • Global Coverage — Explore football data across different geographical areas and continents using list_areas.

The Football-Data.org MCP Server exposes 14 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 Football-Data.org tools available for LangChain

When LangChain connects to Football-Data.org through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-scores, sports-analytics, api-integration, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get area on Football-Data.org

Get details for a specific area

get

Get competition on Football-Data.org

g., PL for Premier League). Get details for a specific competition

get

Get competition standings on Football-Data.org

Can be filtered by standing type (TOTAL, HOME, AWAY). Get standings (league table) for a competition

get

Get match on Football-Data.org

Get details for a specific match

get

Get player on Football-Data.org

Get details for a specific player

get

Get team on Football-Data.org

Get details for a specific team

list

List areas on Football-Data.org

List all geographical areas

list

List competition matches on Football-Data.org

Can be filtered by season, status, stage, group, date range, or matchday. List matches for a specific competition

list

List competition scorers on Football-Data.org

List top scorers for a competition

list

List competition teams on Football-Data.org

List teams in a specific competition

list

List competitions on Football-Data.org

Can be filtered by specific competition IDs or season. List available competitions

list

List matches on Football-Data.org

List matches across competitions

list

List player matches on Football-Data.org

List matches for a specific player

list

List team matches on Football-Data.org

Can be filtered by status, venue, and date range. List matches for a specific team

Connect Football-Data.org to LangChain via MCP

Follow these steps to wire Football-Data.org into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 14 tools from Football-Data.org via MCP

Why Use LangChain with the Football-Data.org MCP Server

LangChain provides unique advantages when paired with Football-Data.org through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Football-Data.org MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Football-Data.org queries for multi-turn workflows

Football-Data.org + LangChain Use Cases

Practical scenarios where LangChain combined with the Football-Data.org MCP Server delivers measurable value.

01

RAG with live data: combine Football-Data.org tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Football-Data.org, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Football-Data.org tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Football-Data.org tool call, measure latency, and optimize your agent's performance

Example Prompts for Football-Data.org in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Football-Data.org immediately.

01

"Show me the current Premier League standings."

02

"Who are the top scorers in the Champions League right now?"

03

"What are the next 3 matches for Real Madrid?"

Troubleshooting Football-Data.org MCP Server with LangChain

Common issues when connecting Football-Data.org to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Football-Data.org + LangChain FAQ

Common questions about integrating Football-Data.org MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Explore More MCP Servers

View all →