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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Football-Data.org as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

The Football-Data.org MCP Server for LlamaIndex 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

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python
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Football-Data.org. "
            "You have 14 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Football-Data.org?"
    )
    print(response)

asyncio.run(main())
Football-Data.org
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* 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.

LlamaIndex agents combine Football-Data.org tool responses with indexed documents for comprehensive, grounded answers. Connect 14 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 14 tools from Football-Data.org

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

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

01

Data-first architecture: LlamaIndex agents combine Football-Data.org tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Football-Data.org tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Football-Data.org, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Football-Data.org tools were called, what data was returned, and how it influenced the final answer

Football-Data.org + LlamaIndex Use Cases

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

01

Hybrid search: combine Football-Data.org real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Football-Data.org to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Football-Data.org for fresh data

04

Analytical workflows: chain Football-Data.org queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Football-Data.org in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Football-Data.org + LlamaIndex FAQ

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

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Football-Data.org tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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