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Football-Data.org MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Get Area, Get Competition, Get Competition Standings, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Football-Data.org through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Football-Data.org MCP Server for Vercel AI SDK 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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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Football-Data.org, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

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.

The Vercel AI SDK gives every Football-Data.org tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 14 tools from Football-Data.org and passes them to the LLM

Why Use Vercel AI SDK with the Football-Data.org MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Football-Data.org integration everywhere

03

Built-in streaming UI primitives let you display Football-Data.org tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Football-Data.org + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Football-Data.org in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Football-Data.org tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Football-Data.org capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Football-Data.org through natural language queries

Example Prompts for Football-Data.org in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Football-Data.org + Vercel AI SDK FAQ

Common questions about integrating Football-Data.org MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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