How to Use the Checkly MCP in Mastra AI

Q: Can I require human approval before Mastra AI triggers a Checkly run?

Yes, you can set the requireToolApproval flag on your Mastra agent configuration. This stops the agent from running triggercheckrun until a human reviews the action.

Q: How do I register Checkly tools inside my Mastra AI agent?

Initialize the MCP client with the Vinkius URL and call listTools(). You then spread those tools directly into your agent's tool array.

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Setup Checkly with Mastra AI

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Automated incident recovery using this MCP Server

`trigger_check_run` executes immediate API tests when your Mastra AI agent detects an anomaly in your system logs. If a test fails, the workflow branches to query `list_checkly_alert_channels` and check who needs to get pinged. Mastra handles the heavy lifting here with its built-in workflow engine. If the Checkly API times out, the framework automatically retries the tool call with exponential backoff before bugging your team.

Guardrails for manual monitoring changes

`get_checkly_account_info` verifies your organization metadata and access levels before your agents modify any monitoring settings. You can group these checks with `list_check_groups` to make sure your agent only touches staging environments. To keep things safe, you configure `requireToolApproval` in your Mastra client. This forces a human operator to click confirm before the agent triggers runs or modifies check targets.

Heartbeat monitoring status loops

`list_checkly_heartbeats` scans your active cron and background job monitors to find silent failures. Your agent pairs this with `get_check_details` to pinpoint exactly which background worker missed its check-in window. You register these capabilities by installing `@mastra/mcp` and feeding the server URL to the `MCPClient` constructor. The agent then runs these diagnostic loops autonomously on your schedule.

Setup guide

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

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

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

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Common questions about Checkly MCP in Mastra AI

Mastra uses its native workflow engine to manage retries automatically. If a call to `trigger_check_run` fails due to network hiccups, the framework backs off and tries again without crashing your agent.

Yes, you can set the `requireToolApproval` flag on your Mastra agent configuration. This stops the agent from running `trigger_check_run` until a human reviews the action.

Initialize the MCP client with the Vinkius URL and call `listTools()`. You then spread those tools directly into your agent's tool array.

The Mastra client automatically detects the transport type. It handles both SSE and Streamable HTTP depending on how you configure your Vinkius endpoint.

Your monitoring configurations, heartbeat statuses, and account metadata remain private. Vinkius operates a zero-trust MCP architecture where all execution data is ephemeral and never stored.

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