How to Use the Olostep MCP in Mastra AI

Q: Does Mastra AI support requireToolApproval for Olostep?

Yes, you can gate any tool call, such as createagent, behind a human-in-the-loop approval step. This gives you manual control over your scraping operations.

Build resilient scraping workflows in Mastra AI with the Olostep MCP server.

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…and any MCP-compatible client

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Connect Olostep MCP to Mastra AI

Create your Vinkius account to connect Olostep to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Olostep with Mastra AI

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Automated scraping workflows for Mastra AI

Integrate `create_agent` into your Mastra agent definitions to automate repeated data collection. You can define specific scraping behaviors and store them as persistent agents that your workflow engine can invoke on a schedule. This setup allows for complex logic where one agent finds links and another agent scrapes the content. You get a clean separation of concerns and reproducible scraping logic.

Robust error handling with Olostep

Use the built-in status check `check_olostep_status` as a pre-flight guard in your Mastra workflows. If the API is unreachable, your workflow can divert to an error-handling branch instead of failing mid-execution. This ensures your autonomous systems don't waste cycles on failing jobs. It keeps your pipeline clean and predictable under load.

Scale with batch scraping in Mastra AI

Use `create_batch` inside your Mastra workflows to process high volumes of URLs during off-peak hours. The workflow engine manages the state, waiting for the batch to finish before moving to the next step. This is perfect for large-scale research tasks where you need to aggregate data from hundreds of sources. You just define the batch and let the server handle the heavy lifting.

Setup guide

Set up Olostep 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 Olostep 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: "olostep-mcp-client",
  servers: {
    "olostep-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Olostep 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 Olostep. 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 Olostep MCP in Mastra AI

Initialize the MCP client in your Mastra configuration and spread the available tools into the agent's tool array. This makes functions like `list_batches` available for your agent to use as needed.

Yes, you can configure your Mastra workflows to retry tool calls if they fail. This works perfectly with `scrape_url` for transient network issues.

Your scraped data is encrypted in transit and never persisted by Vinkius. Olostep only processes the raw HTML and returns the clean text directly to your agent's memory.

You can build a recurring workflow that scrapes a page, compares the results to previous runs, and triggers an alert if specific data points change.

Yes, you can gate any tool call, such as `create_agent`, behind a human-in-the-loop approval step. This gives you manual control over your scraping operations.

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