API-Football MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect API-Football through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 API-Football, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 API-Football MCP Server
Empower your AI agent to orchestrate your football tracking and fan engagement with API-Football, the premier API for global football data. By connecting API-Football to your agent, you transform complex fixture auditing, live score monitoring, and player statistical analysis into a natural conversation. Your agent can instantly retrieve real-time results for over 1,000 leagues, access detailed standings, and even perform head-to-head comparisons between teams without you ever needing to navigate multiple sports apps or websites. Whether you are conducting a seasonal performance audit or coordinating real-time match alerts, your agent acts as a real-time sports data coordinator, providing accurate results from a single, authorized source.
The Vercel AI SDK gives every API-Football tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Live Orchestration — Retrieve real-time scores and match status for thousands of games across the globe.
- Standings Auditing — Access comprehensive league tables and team rankings for major global competitions.
- Fixture Management — Retrieve scheduled matches and fixture lists for specific dates and leagues.
- Deep Metadata — Access detailed profile data for teams and players, including performance stats.
- H2H Comparison — Perform historical head-to-head audits between any two teams to gauge competitive history.
The API-Football MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect API-Football to Vercel AI SDK via MCP
Follow these steps to integrate the API-Football MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from API-Football and passes them to the LLM
Why Use Vercel AI SDK with the API-Football MCP Server
Vercel AI SDK provides unique advantages when paired with API-Football through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same API-Football integration everywhere
Built-in streaming UI primitives let you display API-Football tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
API-Football + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the API-Football MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query API-Football in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate API-Football tools and return structured JSON responses to any frontend
Chatbots with tool use: embed API-Football capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with API-Football through natural language queries
API-Football MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect API-Football to Vercel AI SDK via MCP:
get_fixtures
List match fixtures
get_league_topscorers
Get top scorers
get_player_info
Get player statistics
get_standings
Get league standings
get_team_info
Get team details
list_leagues
List football leagues
list_live_fixtures
Get live matches
search_football_teams
Search for teams
Example Prompts for API-Football in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with API-Football immediately.
"Show me all live football matches in the Premier League (ID: 39)."
"Get the latest standings for the Brasileirão Serie A (ID: 71) season 2023."
"What is the H2H history between Flamengo (ID: 127) and Fluminense (ID: 124)?"
Troubleshooting API-Football MCP Server with Vercel AI SDK
Common issues when connecting API-Football to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAPI-Football + Vercel AI SDK FAQ
Common questions about integrating API-Football MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect API-Football with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect API-Football to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.