BallDontLie MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BallDontLie 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: {
"balldontlie": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "BallDontLie Agent",
instructions:
"You help users interact with BallDontLie " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with BallDontLie?"
);
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 BallDontLie MCP Server
Equip your AI agent with the most accessible NBA intelligence via BallDontLie. This unified server provides your agent with instant access to extensive basketball data, including player profiles, team technical details, and historical game results. Your agent can search for specific players, audit team rosters, and retrieve real-time or historical statistics without you ever manually checking a sports site. Whether you are analyzing season averages or tracking live game scores, your agent acts as a dedicated sports data analyst through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and BallDontLie tool infrastructure. Connect 8 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
- Player Intelligence — Search for thousands of active and retired NBA players and retrieve their detailed metadata.
- Team Auditing — Fetch technical details and identifiers for all 30 NBA teams.
- Game Tracking — Retrieve lists of games with scores and specific results, filtered by date or season.
- Statistical Analysis — Access player statistics for specific games and calculate season averages for deep performance auditing.
- Comprehensive Metadata — List and inspect technical identifiers for teams and players to build complex sports workflows.
The BallDontLie MCP Server exposes 8 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 BallDontLie to Mastra AI via MCP
Follow these steps to integrate the BallDontLie 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 8 tools from BallDontLie via MCP
Why Use Mastra AI with the BallDontLie MCP Server
Mastra AI provides unique advantages when paired with BallDontLie through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BallDontLie 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 BallDontLie 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
BallDontLie + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the BallDontLie MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query BallDontLie, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed BallDontLie as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query BallDontLie on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using BallDontLie tools alongside other MCP servers
BallDontLie MCP Tools for Mastra AI (8)
These 8 tools become available when you connect BallDontLie to Mastra AI via MCP:
get_game_details
Get game details
get_player_details
Get player details
get_season_averages
Get season averages
get_team_details
Get team details
list_games
List NBA games
list_player_stats
List player statistics
list_players
List or search NBA players
list_teams
List all NBA teams
Example Prompts for BallDontLie in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with BallDontLie immediately.
"What are LeBron James's career stats on BallDontLie?"
"Show me the scores for NBA games yesterday."
"Get the season averages for player ID 237 in 2023."
Troubleshooting BallDontLie MCP Server with Mastra AI
Common issues when connecting BallDontLie to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpBallDontLie + Mastra AI FAQ
Common questions about integrating BallDontLie 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 BallDontLie 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.
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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 BallDontLie to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.