OpenLigaDB MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenLigaDB 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 OpenLigaDB, 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 OpenLigaDB MCP Server
Empower your AI agent to orchestrate your entire football intelligence workflow with OpenLigaDB, the community-driven platform for sports results. By connecting OpenLigaDB to your agent, you transform complex match tracking into a natural conversation. Your agent can instantly retrieve match results for dozens of leagues, audit current standing tables, and query upcoming fixtures without you ever touching a sports app. Whether you are building a sports blog or monitoring your favorite team, your agent acts as a real-time sports analyst, ensuring your football data is always current and detailed.
The Vercel AI SDK gives every OpenLigaDB tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Match Auditing — Query full match results for any supported league and season to maintain a clear view of historical performance.
- Table Oversight — Retrieve real-time standing tables to understand league positions and point distributions instantly.
- Fixture Discovery — Query upcoming and most recent matches for any league to maintain strict control over event schedules.
- Match Intelligence — Retrieve detailed metadata for specific match IDs, including scores and goal details.
- League Discovery — List all available leagues in the OpenLigaDB catalog to identify regional event markers.
The OpenLigaDB MCP Server exposes 6 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 OpenLigaDB to Vercel AI SDK via MCP
Follow these steps to integrate the OpenLigaDB 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 6 tools from OpenLigaDB and passes them to the LLM
Why Use Vercel AI SDK with the OpenLigaDB MCP Server
Vercel AI SDK provides unique advantages when paired with OpenLigaDB 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 OpenLigaDB integration everywhere
Built-in streaming UI primitives let you display OpenLigaDB 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
OpenLigaDB + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenLigaDB MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenLigaDB in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenLigaDB tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenLigaDB capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenLigaDB through natural language queries
OpenLigaDB MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect OpenLigaDB to Vercel AI SDK via MCP:
get_last_league_match
Get information about the most recent match in a league
get_league_matches
Get all matches for a specific league and season
get_league_table
Get the current standing table for a league and season
get_match_details
Get full details for a specific match ID
get_next_league_match
Get information about the next match in a league
list_available_leagues
List all available leagues in the OpenLigaDB catalog
Example Prompts for OpenLigaDB in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OpenLigaDB immediately.
"Show results for Bundesliga 1 (bl1) season 2023 using OpenLigaDB."
"What is the next match in 'bl1'?"
"List all available leagues in OpenLigaDB."
Troubleshooting OpenLigaDB MCP Server with Vercel AI SDK
Common issues when connecting OpenLigaDB to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenLigaDB + Vercel AI SDK FAQ
Common questions about integrating OpenLigaDB 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 OpenLigaDB 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 OpenLigaDB to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.