GameScorekeeper MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GameScorekeeper 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 GameScorekeeper, 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 GameScorekeeper MCP Server
Connect GameScorekeeper to your AI agent for real-time football (soccer) intelligence across major competitions.
The Vercel AI SDK gives every GameScorekeeper tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Competitions — Browse and list active competitions with detailed metadata
- Fixtures — Get fixture schedules, live scores, and match results
- Lineups — Access full match lineups with player positions and numbers
- Team Intelligence — View team profiles, current form, and recent results
- Player Stats — Access individual player statistics, career data, and performance metrics
- Stage Navigation — Browse competition stages (group stage, knockouts, etc.)
The GameScorekeeper MCP Server exposes 10 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 GameScorekeeper to Vercel AI SDK via MCP
Follow these steps to integrate the GameScorekeeper 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 10 tools from GameScorekeeper and passes them to the LLM
Why Use Vercel AI SDK with the GameScorekeeper MCP Server
Vercel AI SDK provides unique advantages when paired with GameScorekeeper 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 GameScorekeeper integration everywhere
Built-in streaming UI primitives let you display GameScorekeeper 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
GameScorekeeper + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GameScorekeeper MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GameScorekeeper in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GameScorekeeper tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GameScorekeeper capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GameScorekeeper through natural language queries
GameScorekeeper MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect GameScorekeeper to Vercel AI SDK via MCP:
get_competition_details
Get detailed info for a specific tournament
get_fixture_details
Get detailed match information
get_fixture_lineup
Get player lineups for a specific match
get_player_details
Get individual player profile
get_player_stats
Retrieve historical performance metrics for a player
get_team_details
Get basic information and logo for an esports team
get_team_form
Get recent performance form for a team
list_competition_stages
List stages (e.g., Playoffs, Group Stage) for a competition
list_competitions
List all supported esports tournaments and leagues
list_fixtures
List upcoming and past esports matches
Example Prompts for GameScorekeeper in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GameScorekeeper immediately.
"Show me the upcoming Champions League fixtures."
Troubleshooting GameScorekeeper MCP Server with Vercel AI SDK
Common issues when connecting GameScorekeeper to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGameScorekeeper + Vercel AI SDK FAQ
Common questions about integrating GameScorekeeper 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 GameScorekeeper 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 GameScorekeeper to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.