Can I get odds for the Premier League?

Yes! Use the `get_odds` tool with the sport key `soccer_epl`. It will return the latest odds from various bookmakers.

How do I see results for recently finished games?

Use the `get_scores` tool and provide the sport key. It will return the scores for live games and those that have recently ended.

What bookmaker regions are supported?

The Odds API supports 'us' (United States), 'uk' (United Kingdom), 'eu' (Europe), and 'au' (Australia). Use the `regions` parameter to filter odds.

The Odds API MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: The Odds API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to The Odds API through Vinkius, pass the Edge URL in the `mcps` parameter and every The Odds API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="The Odds API Specialist",
    goal="Help users interact with The Odds API effectively",
    backstory=(
        "You are an expert at leveraging The Odds API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in The Odds API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, The Odds API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call The Odds API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the The Odds API MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from The Odds API

Why Use CrewAI with the The Odds API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with The Odds API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

The Odds API + CrewAI Use Cases

Practical scenarios where CrewAI combined with the The Odds API MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries The Odds API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries The Odds API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain The Odds API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries The Odds API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

The Odds API MCP Tools for CrewAI (3)

These 3 tools become available when you connect The Odds API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting The Odds API to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

The Odds API + CrewAI FAQ

Common questions about integrating The Odds API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.