Pricing
Pay per usage
β οΈ Legacy: This Actor is outdated. For the latest features and full documentation, visit https://mcp.apify.com. Easily connect any Apify Actor to AI agents using Anthropicβs Model Context Protocol (MCP) with our actively maintained MCP server.
4.9 (7)
Pricing
Pay per usage
94
2.1K
238
Issues response
13 hours
Last modified
14 days ago
You can access the Actors 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, youβll 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 "actors": [10 "apify/instagram-scraper",11 "apify/rag-web-browser",12 "lukaskrivka/google-maps-with-contact-details",13 ],14 "maxActorMemoryBytes": 4096,15 "debugActor": "apify/rag-web-browser",16 "debugActorInput": { "query": "hello world" },17}18
19# Run the Actor and wait for it to finish20run = client.actor("apify/actors-mcp-server").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Actors MCP Server API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: