How to Use the Airbrake MCP in Vercel AI SDK

Q: How do I connect Airbrake to Vercel AI SDK?

Install @ai-sdk/mcp via npm. Initialize the connection with createMCPClient pointing to your Vinkius endpoint. Pass the resulting tools into streamText to start rendering results.

Connect Airbrake to Vercel AI SDK to stream real-time error tracking directly into your React or Next.js frontend.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Airbrake MCP to Vercel AI SDK

Create your Vinkius account to connect Airbrake to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Airbrake with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream Airbrake Data via MCP Server

Integrating Airbrake with the Vercel AI SDK puts live error data directly in front of your users. You do not need to build custom polling endpoints to show active bugs. This MCP Server allows your frontend to pull production issues instantly. Call `list_error_groups` and watch the results render component by component. When a developer clicks into an issue, `get_error_group` grabs the stack trace while the UI updates without a single loading spinner.

Map Projects to Dashboards

Internal developer portals need to know exactly which Airbrake projects map to your infrastructure. Your agent can pull the full deployment map and display it in a custom dashboard. Users see their exact application footprint without leaving your platform. Filter the noise by calling `list_environments` to isolate production instances from staging. If someone needs deployment history, `list_deploys` feeds that timeline straight into your Vue or Svelte components.

User-Facing Bug Reports

Users sometimes spot interface bugs that automated Airbrake hooks miss. Give them a chat interface where they can describe the issue naturally. The agent translates their complaint into a structured JSON payload. It then executes `report_notice` to log the event directly into the tracker. You can verify system health first with `check_airbrake_status` before confirming the submission to the user.

Setup guide

Set up Airbrake MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Airbrake tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Airbrake transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Airbrake now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Airbrake MCP in Vercel AI SDK

Install `@ai-sdk/mcp` via npm. Initialize the connection with `createMCPClient` pointing to your Vinkius endpoint. Pass the resulting tools into `streamText` to start rendering results.

Yes. When your prompt triggers a fetch, the raw error data streams back immediately. Your frontend components catch these chunks and render the stack trace live.

It handles authentication through the Vinkius platform. You supply your endpoint token in the HTTP transport configuration. The SDK manages the connection state automatically.

You get direct access to the entire deployment tracking suite. Your application can fire `track_deploy` when shipping new code or read past releases via `list_deploys`.

Vinkius runs the server in an ephemeral V8 Isolate sandbox. Your stack traces and environment variables pass straight to your application. We drop the container immediately after the request finishes.

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