How to Use the Airbrake MCP in Mastra AI

Q: How do I load Airbrake tools into Mastra AI?

Install @mastra/mcp in your project. Create a new MCPClient with your Vinkius URL. Call listTools() and spread the results into your agent's tool array.

Q: Can Mastra AI require approval before tracking an Airbrake deploy?

You can set requireToolApproval on specific operations. The workflow will pause and wait for a human to confirm before executing the command.

Build reliable error response workflows in Mastra AI with direct Airbrake integration and automatic retries.

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Connect Airbrake MCP to Mastra AI

Create your Vinkius account to connect Airbrake 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 Airbrake with Mastra AI

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Build Airbrake Workflows in Mastra AI

Airbrake notices rarely happen in isolation. Connect this MCP Server to Mastra AI to build workflows that react to application crashes automatically. If a critical failure hits, your agent catches it and starts investigating before anyone wakes up. A workflow might start by polling `list_notices` on a schedule. When a new spike appears, it branches logic to pull details via `get_error_group`. If the API times out, Mastra handles the exponential backoff until the data arrives.

Verify Deployments Automatically

Shipping new code requires immediate validation against Airbrake error logs. Connect this MCP Server to link your CI/CD pipeline directly to your monitoring setup. Your agent watches the release happen and immediately starts looking for fallout. The agent executes `track_deploy` to mark the release in the system. It then monitors `list_error_groups` filtered by the new version. If fresh bugs appear, the workflow triggers your rollback script automatically.

Sync Infrastructure State

External issue trackers need accurate Airbrake environment data to route tickets correctly. Your agent can run daily syncs to ensure all systems know about active projects. This keeps your entire engineering stack aligned. By combining `list_projects` and `list_environments`, it builds a complete map of your deployment targets. You can verify connection stability first using `check_airbrake_status` so the workflow fails gracefully if the API goes down.

Setup guide

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

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

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

Install `@mastra/mcp` in your project. Create a new `MCPClient` with your Vinkius URL. Call `listTools()` and spread the results into your agent's tool array.

You can set `requireToolApproval` on specific operations. The workflow will pause and wait for a human to confirm before executing the command.

The framework includes built-in retry logic. If a request hits a limit, it automatically applies exponential backoff and tries again without crashing your workflow.

The client auto-detects the transport protocol. It connects to the Vinkius endpoint using either SSE or Streamable HTTP without manual configuration.

No. Vinkius processes your error logs in a zero-trust environment. The V8 Isolate executes the code and vanishes. Your sensitive application data only lives in your own infrastructure.

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