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SportIntel MCP

is the first AI-powered sports analytics Actor built on the Model Context Protocol (MCP). It provides explainable player projections, lineup optimization, and real-time betting odds for Daily Fantasy Sports (DFS) and sports betting.

Pricing

from $0.01 / 1,000 results

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Developer

Shawn Sonnier

Actor stats

Bookmarked

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Monthly active users

3 months ago

Last modified

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Developer tools

You can access the SportIntel MCP programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "arguments": {
9        "sport": "NBA",
10        "slate": "main",
11        "includeExplanations": True,
12    } }
13
14# Run the Actor and wait for it to finish
15run = client.actor("epicmotionsd/sportintel-mcp").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

SportIntel MCP API in Python

The Apify API client for Python is the official library that allows you to use SportIntel MCP API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

SportIntel MCP API in JavaScript

SportIntel MCP API through CLI

SportIntel MCP OpenAPI definition

SportIntel MCP API

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