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SportDB MCP Server for OpenAI Agents SDK 18 tools — connect in under 2 minutes

Built by Vinkius GDPR 18 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SportDB through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="SportDB Assistant",
            instructions=(
                "You help users interact with SportDB. "
                "You have access to 18 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from SportDB"
        )
        print(result.final_output)

asyncio.run(main())
SportDB
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 SportDB MCP Server

Turn your AI agent into a dedicated sports analyst with SportDB. Query real-time match data, historical league tables, and deep player intelligence across multiple sports — all through natural conversation.

The OpenAI Agents SDK auto-discovers all 18 tools from SportDB through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SportDB, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Live Match Tracking — Retrieve real-time scores for football, basketball, hockey, and tennis as they happen
  • League Standings — Fetch full league tables with points, wins, draws, losses, and goal difference for any season
  • Fixture Schedules — Browse completed and upcoming matches for specific leagues and seasons
  • Match Deep Dive — Inspect individual matches with lineups, formations, substitutions, and in-game statistics
  • Club Intelligence — Search for clubs, view profiles with stadium information, and retrieve current squad rosters
  • Player Analytics — Search players, view career profiles, seasonal statistics, and complete transfer histories

The SportDB MCP Server exposes 18 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 SportDB to OpenAI Agents SDK via MCP

Follow these steps to integrate the SportDB MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 18 tools from SportDB

Why Use OpenAI Agents SDK with the SportDB MCP Server

OpenAI Agents SDK provides unique advantages when paired with SportDB through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

SportDB + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the SportDB MCP Server delivers measurable value.

01

Automated workflows: build agents that query SportDB, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries SportDB, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through SportDB tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query SportDB to resolve tickets, look up records, and update statuses without human intervention

SportDB MCP Tools for OpenAI Agents SDK (18)

These 18 tools become available when you connect SportDB to OpenAI Agents SDK via MCP:

01

get_club_players

Requires the numeric club ID. List all players currently registered to a specific club

02

get_club_profile

Requires the numeric club ID obtained from search results. Get the full profile of a club by its ID

03

get_competition_seasons

g., "premier-league"), returns all available seasons. Use this to find the season identifier needed for standings and fixtures queries. List available seasons for a specific competition

04

get_country_competitions

g., "england", "spain", "germany"), returns all competitions available in that country. The response includes competition slugs needed to drill deeper into seasons and standings. List competitions (leagues/cups) available in a specific country for a sport

05

get_fixtures

Includes dates, teams, scores for completed matches, and upcoming schedule. Requires sport, country_slug, competition_slug, and season. Get scheduled and completed match fixtures for a season

06

get_live_basketball

Use this when the user asks about ongoing basketball games or live NBA/EuroLeague results. Get live basketball match scores happening right now

07

get_live_football

Use this when the user asks about ongoing football games, current scores, or live results. Get live football (soccer) match scores happening right now

08

get_live_hockey

Use this when the user asks about ongoing hockey games or live NHL/KHL results. Get live ice hockey match scores happening right now

09

get_match

Use the match_id obtained from fixtures or live results. Get detailed information for a specific match by its ID

10

get_match_lineups

Returns player names and positions for each side. Get starting lineups and substitutions for a specific match

11

get_match_stats

Requires a valid match_id. Get in-match statistics for a specific match

12

get_player_profile

Requires the numeric player ID obtained from search results. Get the full profile of a player by their ID

13

get_player_stats

Requires the numeric player ID. Get career and seasonal statistics for a specific player

14

get_player_transfers

Requires the numeric player ID. Get the complete transfer history of a specific player

15

get_standings

Requires sport, country_slug, competition_slug, and season (e.g., "2024-2025"). This is the primary tool for answering "who is top of the league" questions. Get league table standings for a specific season of a competition

16

list_countries

The sport parameter should be a slug like "football", "basketball", "hockey", or "tennis". Use this as the starting point to navigate the competition hierarchy. List all countries available for a given sport

17

search_clubs

Returns a list of matching clubs with their IDs and basic metadata. Use this to find a club ID before requesting its profile or player roster. Search for clubs/teams by name keyword

18

search_players

Returns matching players with their IDs and basic profile data. Use this to find a player ID before requesting their detailed profile, statistics, or transfer history. Search for players by name keyword

Example Prompts for SportDB in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SportDB immediately.

01

"Show me the live football scores right now."

02

"Search for Erling Haaland and show me his transfer history."

03

"Get the La Liga standings for the 2024-2025 season."

Troubleshooting SportDB MCP Server with OpenAI Agents SDK

Common issues when connecting SportDB to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

SportDB + OpenAI Agents SDK FAQ

Common questions about integrating SportDB MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect SportDB to OpenAI Agents SDK

Get your token, paste the configuration, and start using 18 tools in under 2 minutes. No API key management needed.