How to Use the Metaplane MCP in Mastra AI

Q: How do I list all monitors in Mastra-ai?

Simply use listmonitors within your agent tools. It returns an array of current monitors you can iterate through.

Automate your data observability workflows in Mastra-ai using the Metaplane MCP server.

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Connect Metaplane MCP to Mastra AI

Create your Vinkius account to connect Metaplane 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 Metaplane with Mastra AI

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Automated incident response in Mastra-ai

Build agent workflows that react to data drift. When `list_incidents` finds a failure, your Mastra-ai agent can automatically branch into a recovery task. Use `get_incident` to gather context for your agent's decision logic. This prevents wasted cycles on false alarms.

Dynamic monitor triggering

Control your observability schedule with `trigger_monitor_run`. It's perfect for workflows that need to verify data before moving to the next step. Check if a monitor is healthy by invoking `get_monitor`. If it fails, your agent can retry the operation using Mastra-ai's built-in backoff logic.

Schema-aware agent workflows

Give your agents a map of your environment with `list_data_connections`. It helps them understand which databases they are currently observing. Use `list_connection_schemas` to check table structures during a workflow execution. This ensures your agent operates on the correct data fields.

Setup guide

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

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

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

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Common questions about Metaplane MCP in Mastra AI

It does. You simply import the MCP server and spread the tools into your agent definition. This gives your agent control over data observability.

If an agent fails a data check, configure a workflow step to call `trigger_monitor_run`. This forces a fresh look at the data before the next retry.

Your API key is kept outside the agent code. The server handles the authentication handshake for you.

Simply use `list_monitors` within your agent tools. It returns an array of current monitors you can iterate through.

It only touches monitor statuses, incident metadata, and schema information. No raw business data leaves your environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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