How to Use the The Odds API MCP in LangChain

Q: Does The Odds API support historical analysis within LangChain?

Yes. While getodds handles current market prices, the combination of getscores and the agent's memory lets you analyze how past scores correlate with today’s odds data.

Build complex betting models with LangChain's multi-step agent reasoning.

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…and any MCP-compatible client

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Connect The Odds API MCP to LangChain

Create your Vinkius account to connect The Odds API to LangChain — 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Multi-Step Reasoning for the MCP Server

The `get_odds` tool gives your agent real-time odds by calling it directly. Your agent can use this data, then pass those results to `get_scores` to check if recent game outcomes impacted the predicted line. This chaining process lets you build sophisticated decision trees where one API call feeds the next.

Discovering Data Sources with LangChain

`list_sports` tells your agent exactly which sports are available right out of the gate. You don't have to guess; you check the list first, then use that sport ID in `get_odds`. This structured approach ensures your multi-step chains never fail because of bad inputs.

Handling Live Data Streams

`get_scores` pulls current and past game scores when you need immediate context. If the agent sees a score change, it can immediately use that fact to refine its prediction using `get_odds`. It's all about making sure every piece of data is used in sequence.

Setup guide

Set up The Odds API MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes The Odds API tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "the-odds-api-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent The Odds API transactions"
    })
    print(result["messages"][-1].content)

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Common questions about The Odds API MCP in LangChain

Your agent decides the full flow. You can program it to first use `list_sports()` to select a league, then call `get_odds()` on that league's games. This allows your AI client to structure multi-step reasoning pipelines automatically.

Yep. You can connect this MCP Server with other APIs and databases in the same chain. Your agent treats all data—whether it's odds, scores, or vector store results—as inputs for its next reasoning step.

Yes. While `get_odds` handles current market prices, the combination of `get_scores` and the agent's memory lets you analyze how past scores correlate with today’s odds data.

You use the client's session function to keep persistent context. This means your agent remembers what sports you looked at or which scores it pulled earlier in the conversation.

This server touches real-time odds data and game scores. The system handles these structured betting statistics, not personal user information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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