The Odds API MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect The Odds API through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"the-odds-api": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using The Odds API, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 The Odds API MCP Server
Equip your AI agent with real-time sports market intelligence via The Odds API MCP server. This integration provides instant access to live odds from dozens of bookmakers across major sports leagues including NFL, NBA, MLB, EPL, and more. Your agent can list all supported sports, retrieve current market odds for specific regions, and check live or historical scores. Whether you are analyzing market trends, tracking your favorite teams, or building a betting advisor, your agent acts as a dedicated sports data analyst through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with The Odds API through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Live Odds Retrieval — Get real-time odds for upcoming games from multiple bookmakers.
- Sports Discovery — List all available sports and leagues supported by the API.
- Score Tracking — Check live and recently completed game scores for various sports.
- Market Comparison — Compare prices across different bookmakers and regions (US, UK, EU, AU).
- Historical Auditing — Summarize and analyze past game results and market movements.
The The Odds API MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain 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 The Odds API to LangChain via MCP
Follow these steps to integrate the The Odds API MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 3 tools from The Odds API via MCP
Why Use LangChain with the The Odds API MCP Server
LangChain provides unique advantages when paired with The Odds API through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine The Odds API MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across The Odds API queries for multi-turn workflows
The Odds API + LangChain Use Cases
Practical scenarios where LangChain combined with the The Odds API MCP Server delivers measurable value.
RAG with live data: combine The Odds API tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query The Odds API, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain The Odds API tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every The Odds API tool call, measure latency, and optimize your agent's performance
The Odds API MCP Tools for LangChain (3)
These 3 tools become available when you connect The Odds API to LangChain via MCP:
get_odds
Get odds for a specific sport
get_scores
Get live and past scores
list_sports
List all available sports
Example Prompts for The Odds API in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with The Odds API immediately.
"Show me the current odds for the next NFL games."
"Check the live scores for the English Premier League."
"List all sports available on The Odds API."
Troubleshooting The Odds API MCP Server with LangChain
Common issues when connecting The Odds API to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersThe Odds API + LangChain FAQ
Common questions about integrating The Odds API MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect The Odds API 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 The Odds API to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.