How to Use the The Odds API MCP in OpenAI Agents SDK

Q: How does The Odds API integrate with the OpenAI Agents SDK?

The MCP Server automatically exposes all tools—getodds, getscores, and listsports—to your agent. Your agent’s specialized context handles the tool discovery process, so you don't need to write any custom integration code.

Q: Can The Odds API pull data from multiple sports?

Absolutely. By calling listsports first, your agent knows the full scope of available leagues. You can then loop through those IDs and use getodds for every single sport you want to analyze.

Calculate real-time market probabilities and identify discrepancies using the OpenAI Agents SDK.

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Connect The Odds API MCP to OpenAI Agents SDK

Create your Vinkius account to connect The Odds API to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup The Odds API with OpenAI Agents SDK

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Fetch odds for a specific sport.

The `get_odds` tool retrieves current betting lines for any specified sporting event. This lets your agent check out market pricing across multiple bookmakers instantly. The agent's guardrails validate the request parameters before execution, ensuring you only run predictions on valid sports IDs and game dates. It’s built for production safety.

Retrieve live or past scores.

You use `get_scores` to get immediate status updates, whether the game is underway or already finished. This data point lets your agent anchor its analysis to verifiable results. The tool adds a caching layer behind the scenes, so when your agent checks scores multiple times in one session, it doesn't hit the database unnecessarily.

List all available sports.

`list_sports` lets your agent figure out exactly what data is available through The Odds API. This helps with initial scoping and ensures the user knows which leagues to ask about. The tool documentation updates automatically, so when you build a new agent that needs to know the latest sport list, it’s always up to date.

Setup guide

Set up The Odds API 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 The Odds API tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate The Odds API 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="The Odds API Agent",
            instructions="You have access to The Odds API tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by The Odds API. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about The Odds API MCP in OpenAI Agents SDK

The MCP Server automatically exposes all tools—`get_odds`, `get_scores`, and `list_sports`—to your agent. Your agent’s specialized context handles the tool discovery process, so you don't need to write any custom integration code.

Because the OpenAI Agents SDK has built-in guardrails, it validates agent actions *before* they run. If a request is malformed or invalid for any of the tools, the execution stops safely and reports the specific validation error.

Yes. While core functionality handles the logic, the underlying services manage performance constraints. You can set `cacheToolsList=True` to boost performance and handle frequent lookups without hitting limits.

Absolutely. By calling `list_sports` first, your agent knows the full scope of available leagues. You can then loop through those IDs and use `get_odds` for every single sport you want to analyze.

This server primarily touches betting odds, scores, and sports identifiers. It handles public market pricing data; it never interacts with personal user account information or private identities.

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