How to Use the Apify MCP in Mastra AI

Build autonomous scraping workflows in Mastra AI using this MCP Server to handle retries, branching, and storage.

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Connect Apify MCP to Mastra AI

Create your Vinkius account to connect Apify to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apify with Mastra AI

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Inject scraper tasks into Mastra AI workflows

The `list_actor_tasks` tool lets your agent inspect and trigger pre-configured scraping setups within your automated pipelines. Instead of hardcoding parameters, the agent discovers the right task definition and executes it based on runtime variables. This fits perfectly into a multi-step workflow. If a previous step outputs a list of target URLs, the agent dynamically maps them to the correct task and starts the run.

Handle scraping failures with MCP Server tools

The `get_run_details` tool monitors active extraction jobs and feeds their status back to your workflow engine. Mastra uses this data to decide whether to trigger retries with exponential backoff or branch into a fallback path. If a scrape fails due to a network block, the workflow catches the error. The agent can then switch to a different actor configuration and try again without human intervention.

Process unstructured web data automatically

The `get_dataset_results` and `list_datasets` tools allow your agent to fetch raw extracted data and feed it directly to subsequent workflow steps. This lets you build pipelines that clean, transform, and load scraped data into your primary database. You don't have to write glue code to move data between steps. The agent reads the dataset directly from the storage bucket and passes the clean JSON payload to your next workflow action.

Setup guide

Set up Apify MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Apify tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "apify-extended-mcp-client",
  servers: {
    "apify-extended-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Apify Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Apify tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Apify transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Apify MCP in Mastra AI

Yes. Initialize the client using the Mastra MCP package and register the tools. Your agents can then call them as native steps in any complex workflow.

You can enable tool approval in Mastra config. When the agent tries to call `run_actor`, the workflow pauses until you approve the execution from your admin dashboard.

You should write a polling loop in your agent logic. The agent starts the actor, pauses, and uses `get_run_details` to check status before proceeding to the next step.

Yes. When registering the MCP Server with Mastra, you can pass a filter array to expose only the specific tools your workflow requires.

Yes. All API calls pass through a zero-trust, ephemeral V8 sandbox that destroys itself immediately after the run. Your credentials and execution logs are never stored or logged on our infrastructure.

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