The Odds API

by hrgarber

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GitHub

About

Provides a bridge to The Odds API for accessing sports betting data including available sports, odds comparisons across bookmakers, and quota tracking in both test and live modes.

Details

Author: hrgarber
Repository: hrgarber/wagyu_mcp_hackathon
License: Other
Categories: Design, Developer Tools, AI, API, Infrastructure, Knowledge Base, Security

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name The Odds API

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

```python
from wagyu_sports import OddsClient
import os
from dotenv import load_dotenv

uvx install -e .

uv install wagyu_sports

uvx install pytest pytest-asyncio

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "the odds api": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "cmd"
}

Wagyu Sports

A Python client for sports betting data with MCP server integration.

graph LR
    User([Your Code]) --> Client[Wagyu Sports Client] --> API[The Odds API]
    MCP[MCP Server] --> Client
    Client --> MCP
    API --> Client --> User
    
    style User fill:#f8f8f8,stroke:#666,stroke-width:1px,color:#000
    style Client fill:#4285F4,stroke:#2965C9,stroke-width:2px,color:#fff
    style API fill:#F5F5F5,stroke:#999,stroke-width:1px,color:#000
    style MCP fill:#34A853,stroke:#1E8E3E,stroke-width:2px,color:#fff

Directory Structure

The project has been reorganized for better maintainability:
- build/ - Build-related files (pyproject.toml, requirements.txt, setup.py)
- config/ - Configuration files (.env.example, pytest.ini)
- docs/ - Documentation (LICENSE, README.md)
- examples/ - Example scripts
- mcp_server/ - Model Context Protocol (MCP) server implementation
- tests/ - Test files

Installation

# Development installation
uvx install -e .
User installation
uv install wagyu_sports
Set up API key
cp config/.env.example config/.env
Edit .env and add your API key from https://the-odds-api.com/

Quick Start

from wagyu_sports import OddsClient
import os
from dotenv import load_dotenv
Load API key
load_dotenv(dotenv_path="config/.env")
api_key = os.getenv("ODDS_API_KEY")
Create client and get sports
client = OddsClient(api_key)
sports = client.get_sports()
print(f"Available sports: {len(sports['data'])}")

Features

- Access to sports betting data endpoints
- Track API usage through response headers
- Support for all API parameters and options

Examples

See the examples/ directory for usage patterns:
- examples/example.py: Basic usage
- examples/advanced_example.py: Advanced features
- examples/verify_install.py: Verify installation
- examples/fetch_nba_odds.py: Fetch NBA odds example
- examples/verify_import.py: Simple import verification

Testing

The testing suite has been cleaned up and improved for better organization and reliability. Run the tests using pytest:

# Install test dependencies
uvx install pytest pytest-asyncio
Run all tests
uvx run pytest --rootdir=. -c config/pytest.ini
Run specific test file
uvx run pytest tests/test_simple_mcp.py

Or use the Makefile:

make test

The test suite includes:
- API Client Tests: Tests for the core Odds API client functionality
- MCP Server Tests: Tests for the MCP server implementation
- Client-based tests: Test the full MCP protocol implementation
- Direct tests: Simpler tests that directly test server methods

See the tests/README.md file for more details on the testing approach.

For MCP Server Information

See the main README.md file for details on running and configuring the MCP server.

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

Linux

Macos

Windows

Wagyu Sports

Directory Structure

Installation

User installation

Set up API key

Edit .env and add your API key from https://the-odds-api.com/

Quick Start

Load API key

Create client and get sports

Features

Examples

Testing

Run all tests

Run specific test file

For MCP Server Information

Install

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