SportsDB MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SportsDB through the 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: {
"sportsdb": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "SportsDB Agent",
instructions:
"You help users interact with SportsDB " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with SportsDB?"
);
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 SportsDB MCP Server
Connect SportsDB (sportdb.dev) to your AI agent for comprehensive sports intelligence across hundreds of leagues worldwide.
Mastra's agent abstraction provides a clean separation between LLM logic and SportsDB tool infrastructure. Connect 12 tools through the 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
- Team & Player Search — Find teams and players by name across all sports and leagues
- Event Search — Search for matches and events by name or keyword
- League Navigation — Browse all sports, leagues, and countries in the database
- Match Tracking — Check upcoming fixtures and recent results for any team or league
- League Tables — Access current standings with points, goals, and form data
- Team & Player Profiles — Detailed info including badges, venues, and career stats
The SportsDB MCP Server exposes 12 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 SportsDB to Mastra AI via MCP
Follow these steps to integrate the SportsDB 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 12 tools from SportsDB via MCP
Why Use Mastra AI with the SportsDB MCP Server
Mastra AI provides unique advantages when paired with SportsDB through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add SportsDB 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 SportsDB 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
SportsDB + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the SportsDB MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query SportsDB, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed SportsDB as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query SportsDB on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using SportsDB tools alongside other MCP servers
SportsDB MCP Tools for Mastra AI (12)
These 12 tools become available when you connect SportsDB to Mastra AI via MCP:
get_last_events
Get last results for a team
get_league_details
Get detailed information about a league
get_league_table
Get league standings/table
get_next_events
Get upcoming events for a team
get_player_details
Get detailed information about a player
get_team_details
Get detailed information about a team
list_all_countries
List all countries with sports data
list_all_leagues
List all available leagues
list_all_sports
List all available sports
search_events
Search for sports events by name
search_players
Returns player metadata including team and nationality. Search for players by name
search_teams
Returns team metadata including ID, sport, league, and country. Search for sports teams by name
Example Prompts for SportsDB in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with SportsDB immediately.
"Show me the current Premier League standings."
Troubleshooting SportsDB MCP Server with Mastra AI
Common issues when connecting SportsDB to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpSportsDB + Mastra AI FAQ
Common questions about integrating SportsDB 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 SportsDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 SportsDB to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.