How to Use the Microlink MCP in Mastra AI

Q: Does Mastra AI support tool approval for Microlink?

Yes. You can enable requireToolApproval to force a human check before the agent runs takescreenshot or other sensitive actions.

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Connect Microlink MCP to Mastra AI

Create your Vinkius account to connect Microlink 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 Microlink with Mastra AI

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Perplexity

Workflow-ready web automation

Mastra AI agents require reliability. Integrate `advanced_query` to handle complex site requests within your agentic workflows. If a request fails, the framework handles the retry logic for you. You get stable, predictable data extraction for every step of your process.

Complex multi-step actions

Chain together `take_screenshot` and `generate_pdf` to build automated document generation pipelines. Your agents can now act on visual site changes. Define your success criteria and let the agent handle the branching. It's built for developers who need more than simple scripts.

Deep site intelligence

Use `get_insights` to feed performance data into your agent's decision-making logic. Your agents will know exactly what tech powers a site before they act. This level of detail turns your agent into an expert researcher. It saves you from writing custom parsers for every site you visit.

Setup guide

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

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

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

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Common questions about Microlink MCP in Mastra AI

Install the Mastra MCP package and add the server to your client config. You can then spread the tools directly into your agent's toolset.

Yes. You can enable `requireToolApproval` to force a human check before the agent runs `take_screenshot` or other sensitive actions.

Definitely. Because the tools return structured JSON, your agent can easily evaluate the output of `extract_metadata` to decide the next workflow step.

The framework supports exponential backoff. If a network blip hits a tool call, your agent will automatically retry according to your defined policy.

We isolate your requests within the V8 sandbox. The server only sees the URLs you authorize, and your data is never shared with third parties.

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