SportsDB MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SportsDB through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="SportsDB Assistant",
instructions=(
"You help users interact with SportsDB. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SportsDB"
)
print(result.final_output)
asyncio.run(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.
The OpenAI Agents SDK auto-discovers all 12 tools from SportsDB through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries SportsDB, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 SportsDB to OpenAI Agents SDK via MCP
Follow these steps to integrate the SportsDB MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from SportsDB
Why Use OpenAI Agents SDK with the SportsDB MCP Server
OpenAI Agents SDK provides unique advantages when paired with SportsDB through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
SportsDB + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SportsDB MCP Server delivers measurable value.
Automated workflows: build agents that query SportsDB, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries SportsDB, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SportsDB tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SportsDB to resolve tickets, look up records, and update statuses without human intervention
SportsDB MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect SportsDB to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SportsDB immediately.
"Show me the current Premier League standings."
Troubleshooting SportsDB MCP Server with OpenAI Agents SDK
Common issues when connecting SportsDB to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SportsDB + OpenAI Agents SDK FAQ
Common questions about integrating SportsDB MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect SportsDB 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 SportsDB to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.