Airbrake MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Check Airbrake Status, Get Error Group, Get Project, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Airbrake through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Airbrake app connector for Mastra AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"airbrake": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Airbrake Agent",
instructions:
"You help users interact with Airbrake " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Airbrake?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Airbrake MCP Server
Connect your Airbrake account to any AI agent and manage your entire error monitoring workflow through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Airbrake tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Project Management — List all monitored projects and fetch detailed project configuration
- Error Group Analysis — List error groups by project with occurrence counts, severity, and last-seen timestamps
- Deep Error Inspection — Inspect individual error groups with full stack traces, affected users, and frequency data
- Error Notices — List individual error occurrences within a group and report custom errors for tracking
- Deployment Tracking — List all tracked Installments and record new releases with version and environment info
- Environment Overview — View all configured environments (production, staging, development) per project
- Health Check — Verify API connectivity and account status
The Airbrake MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Airbrake tools available for Mastra AI
When Mastra AI connects to Airbrake through Vinkius, your AI agent gets direct access to every tool listed below — spanning airbrake, error-monitoring-api, exception-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify API connectivity
Get error group details
Get project details
List deployments
List environments
List error groups
List error notices
List all projects
Report an error notice
Track a deployment
Connect Airbrake to Mastra AI via MCP
Follow these steps to wire Airbrake into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Airbrake MCP Server
Mastra AI provides unique advantages when paired with Airbrake through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Airbrake without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Airbrake tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Airbrake + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Airbrake MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Airbrake, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Airbrake as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Airbrake on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Airbrake tools alongside other MCP servers
Example Prompts for Airbrake in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Airbrake immediately.
"List all my Airbrake projects."
"Show me the error groups for project 120394."
"Record a Installment for project 120394: version 3.2.1, production."
Troubleshooting Airbrake MCP Server with Mastra AI
Common issues when connecting Airbrake to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAirbrake + Mastra AI FAQ
Common questions about integrating Airbrake MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.