How to Use the BugSnag MCP in Vercel AI SDK

Q: How do I connect the BugSnag MCP Server to my Vercel AI SDK project?

Install @ai-sdk/mcp and call createMCPClient pointing to the Vinkius URL. Then, pass the tools directly to streamText to let your UI show real-time error data.

Q: Can I stream BugSnag stack traces to a Next.js page using Vercel AI SDK?

Yes. Your agent calls getevent and streams the stack trace directly into your UI components without blocking the page.

Q: Does the Vercel AI SDK integration support BugSnag project filtering?

Yes. The agent uses listprojects to let users select a project, then streams the corresponding error groups in real-time.

Q: How do I handle close connections with this MCP Server?

Always call mcpClient.close() once your React component unmounts or your streaming session finishes. This prevents memory leaks in your Next.js edge functions.

Stream BugSnag error data directly to your React components in real-time using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BugSnag MCP to Vercel AI SDK

Create your Vinkius account to connect BugSnag 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.

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Setup BugSnag with Vercel AI SDK

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Live BugSnag MCP Server Diagnostics in the Browser

Stop making users wait for a loading spinner when debugging production issues. This MCP Server lets your Vercel AI SDK client pull raw error details via `get_error` and render the stack trace live on your screen. The moment an issue occurs in production, your React app streams the exact error event data using `get_event` directly into your custom developer dashboard.

Real-time Project Stability Feeds

Your Next.js frontend can now show live stability metrics by letting your Vercel AI SDK agent call `get_project_stats` on the fly using this MCP Server. This setup grabs active project trends through `list_projects` and displays them to your engineering team without UI lag.

Instant Collaborator Diagnostics

When debugging access issues, your Vercel AI SDK UI can instantly render who is on call by querying `list_collaborators`. The agent streams the team list side-by-side with error groups from `list_errors` so you know exactly who to assign.

Setup guide

Set up BugSnag 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 BugSnag 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 BugSnag 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 BugSnag. 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.

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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 BugSnag MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` pointing to the Vinkius URL. Then, pass the tools directly to `streamText` to let your UI show real-time error data.

Yes. Your agent calls `get_event` and streams the stack trace directly into your UI components without blocking the page.

Yes. The agent uses `list_projects` to let users select a project, then streams the corresponding error groups in real-time.

Always call `mcpClient.close()` once your React component unmounts or your streaming session finishes. This prevents memory leaks in your Next.js edge functions.

Vinkius acts as a secure proxy for your BugSnag API keys and error payloads. It never stores the stack traces or collaborator emails returned by `list_collaborators`.

Use it with your favorite AI tools

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