How to Use the FantasyData (SportsDataIO) MCP in OpenAI Agents SDK

Q: How do I connect FantasyData (SportsDataIO) to my OpenAI Agents SDK project?

You initialize the server by passing the endpoint to the MCPServerStreamableHttp class. Add this to your agent constructor and the SDK handles tool discovery automatically.

Q: Does the OpenAI Agents SDK cache calls to FantasyData (SportsDataIO)?

Yes, you can enable caching by setting cacheToolsList=True. This reduces latency for your agent when it queries the same player stats repeatedly.

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Connect FantasyData (SportsDataIO) MCP to OpenAI Agents SDK

Create your Vinkius account to connect FantasyData (SportsDataIO) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FantasyData (SportsDataIO) with OpenAI Agents SDK

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Real-time NFL, NBA, and MLB data

Your agent fetches live scores and schedules directly from the source. It uses `get_nfl_scores` or `get_mlb_scores` to pull data into your pipeline the second it happens. Stop relying on stale news feeds. This MCP Server lets your agent query `get_nba_schedule` to build dynamic game-day workflows without manual updates.

Detailed player intelligence for agents

Deep dive into stats with `get_nfl_player_details` and `get_mlb_player_details`. Your agent gains immediate access to roster info, injuries, and performance metrics. Automate your research phase by calling `list_nba_players`. Your agent cross-references this data against your existing betting models to identify value.

Safe agent execution with guardrails

The OpenAI Agents SDK validates every tool call before it hits the network. Use the `get_nba_scores` tool within a protected context to ensure your agent stays on track. Tracing tools allow you to log every request made to FantasyData (SportsDataIO). You get a full audit trail of why your agent picked a specific player or team.

Setup guide

Set up FantasyData (SportsDataIO) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all FantasyData (SportsDataIO) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives FantasyData (SportsDataIO) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate FantasyData (SportsDataIO) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="FantasyData (SportsDataIO) Agent",
            instructions="You have access to FantasyData (SportsDataIO) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about FantasyData (SportsDataIO) MCP in OpenAI Agents SDK

You initialize the server by passing the endpoint to the `MCPServerStreamableHttp` class. Add this to your agent constructor and the SDK handles tool discovery automatically.

Yes, you can enable caching by setting `cacheToolsList=True`. This reduces latency for your agent when it queries the same player stats repeatedly.

You control tool access by defining specific permissions within the agent's system prompt. Only expose the tools necessary for your current task.

The server returns an error code that the SDK captures. Your agent logic should handle this by either retrying or falling back to cached data.

All requests are encrypted in transit via HTTPS. The server only transmits public sports metrics, ensuring no private user information ever touches the external API.

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