Pricing

Pay per usage

Go to Store

Actors MCP Server

Try for free

Developed by

Apify

Connect Apify Actors to AI applications (AI Agents) using Anthropic's Model Context Protocol (MCP). This MCP server provides integration of any Apify Actor through the MCP framework.

4.6 (6)

Pricing

Pay per usage

Total users

1.2k

Monthly users

569

Runs succeeded

85%

Issues response

3 days

Last modified

14 days ago

Open source

Agents

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, 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 = {
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 finish
20run = 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("💾 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# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Actors MCP Server API in Python

The 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-client

Other API clients include:

Actors MCP Server API in JavaScript

Actors MCP Server API through CLI

Actors MCP Server OpenAPI definition

Actors MCP Server API

Tester MCP Client

jiri.spilka/tester-mcp-client

A model context protocol (MCP) client that connects to any MCP server using Server-Sent Events (SSE) and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over SSE.

Jiří Spilka

388

4.8

Browserbase MCP

jakub.kopecky/browserbase-mcp

A Model Context Protocol (MCP) server that provides browser automation capabilities using Browserbase.

Jakub Kopecký

Playwright MCP

jiri.spilka/playwright-mcp

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright

Jiří Spilka

Mastra.ai MCP Agent

jakub.kopecky/actor-mastra-mcp-agent

🤖 AI agent using mastra.ai with Apify MCP Server. 🚀 Runs queries via OpenAI models, taps Apify Actors for web data, and outputs to datasets. 🛠️

Jakub Kopecký

RAG Web Browser

apify/rag-web-browser

Web browser for OpenAI Assistants, RAG pipelines, or AI agents, similar to a web browser in ChatGPT. It queries Google Search, scrapes the top N pages, and returns their content as Markdown for further processing by an LLM. It can also scrape individual URLs. Supports Model Context Protocol (MCP).

Apify

2.7k

4.4

Browser Use Apify

lexis-solutions/browser-use-apify

Open-source AI-powered browser automation based on browser-use and hosted on Apify. Run any task using Apify's platform and LLMs like ChatGPT, Claude, etc. Easy, scalable, resilient, and hosted solution for web-enabled AI agents.

Lexis Solutions

125

5.0

AI Web Agent

apify/ai-web-agent

Use natural language prompts to browse the web, click on elements, fill and submit forms, extract data, and take screenshots using the OpenAI API.

Apify

1.3k

4.2

Backlink Building Agent

daniil.poletaev/backlink-building-agent

The Backlink Building Agent automates backlink outreach by finding relevant pages & websites, extracting contacts from these websites, and then crafting personalized outreach sequences based on the content to these partners. These sequences can be used on email, LinkedIn, Twitter, & WhatsApp.

Daniil Poletaev

106

5.0

Pinecone Integration

apify/pinecone-integration

This integration transfers data from Apify Actors to a Pinecone and is a good starting point for a question-answering, search, or RAG use case.

Apify

379

4.1

ArXiv MCP server

jakub.kopecky/arxiv-mcp-server

The ArXiv MCP server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.

Jakub Kopecký