ESPN MCP Server
Pricing
$0.01 / 1,000 sports data
Get ESPN scoreboards, schedules, standings, teams, rosters, athlete data, news, rankings, odds, and game details. Save structured sports data for AI research or export it from an Actor run.
Pricing
$0.01 / 1,000 sports data
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0.0
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Developer
Maxime Dupré
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3 days ago
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You can access the ESPN MCP Server 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "target": "scoreboards",10 "scoreboardDate": "2025-11-29",11 "sport": "football",12 "leagues": [13 "nfl",14 "college-football",15 ],16}17
18# Run the Actor and wait for it to finish19run = client.actor("maximedupre/espn-mcp-server").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use ESPN MCP Server API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: