GameScorekeeper MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GameScorekeeper through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"gamescorekeeper": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "GameScorekeeper Agent",
instructions:
"You help users interact with GameScorekeeper " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with GameScorekeeper?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and GameScorekeeper tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the GameScorekeeper MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from GameScorekeeper via MCP
Why Use Mastra AI with the GameScorekeeper MCP Server
Mastra AI provides unique advantages when paired with GameScorekeeper through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GameScorekeeper without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every GameScorekeeper tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
GameScorekeeper + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the GameScorekeeper MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query GameScorekeeper, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed GameScorekeeper as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query GameScorekeeper on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using GameScorekeeper tools alongside other MCP servers
GameScorekeeper MCP Tools for Mastra AI (10)
These 10 tools become available when you connect GameScorekeeper to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with GameScorekeeper immediately.
"Show me the upcoming Champions League fixtures."
Troubleshooting GameScorekeeper MCP Server with Mastra AI
Common issues when connecting GameScorekeeper to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGameScorekeeper + Mastra AI FAQ
Common questions about integrating GameScorekeeper MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect GameScorekeeper with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.