Apify MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Apify MCP or direct API to run actors, scrape websites, extract datasets, and automate browser tasks through natural language.

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Dcr Oauth

Apify MCP is the official MCP server for Apify's web scraping and browser automation platform. Use it to run actors, collect structured web data, and automate crawling workflows.

8 Tools

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TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every Apify MCP action and event your agent gets out of the box.

Apify-slash-rag-web-browser

This tool calls the Actor "apify/rag-web-browser" and retrieves its output results.

Call-actor

Call any Actor from the Apify Store.

Fetch-actor-details

Get detailed information about an Actor by its ID or full name (format: "username/name", e.

Fetch-apify-docs

Fetch the full content of an Apify or Crawlee documentation page by its URL.

Get-actor-output

Retrieve the output dataset items of a specific Actor run using its datasetId.

Get-actor-run

Get detailed information about a specific Actor run by runId.

Search-actors

Search the Apify Store to FIND and DISCOVER what scraping tools/Actors exist for specific platforms or use cases.

Search-apify-docs

Search Apify and Crawlee documentation using full-text search.

SETUP GUIDE

Connect Apify MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["apify_mcp"],
  mcp: true,
});
Create a session scoped to Apify MCP and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Run an Apify actor to scrape product titles and prices from https://books.toscrape.com",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Apify MCP request
SETUP GUIDE

Connect Apify MCP API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["apify_mcp"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Apify MCP
3

Run Apify MCP tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Run an Apify actor to scrape product titles and prices from https://books.toscrape.com" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Apify MCP tool calls through the session, and print the final answer

Why Use Composio?

AI Native Apify MCP Integration

  • Supports both Apify MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable actor runs and dataset queries
  • Rich coverage for running scrapers, reading results, and automating web workflows

Managed Auth

  • Set up Apify MCP access with auth_configs.create() and connect users with connected_accounts.link()
  • Central place to manage, scope, and revoke Apify MCP access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve actor execution reliability over time
  • Comprehensive execution logs so you always know which actor ran, when, and on whose behalf
  • Create MCP access with mcp.create() when you need a dedicated server flow for agents like Claude or Cursor

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Apify MCP
  • Scoped, least privilege access to Apify actors, runs, and datasets
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Apify MCP with any AI Agent Framework

Choose a Framework you want to connect Apify MCP with

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Apify MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Apify connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a Apify account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Apify as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Apify. If Apify lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Apify at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Apify connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio's free plan includes 100,000 tool calls per month with no credit card, which covers most personal Apify use. Paid plans add higher limits and team features. Your Apify plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Apify accounts).

With Composio, you connect Apify once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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