How to Use the Incident.io MCP in Vercel AI SDK

Stream real-time incident data into your Vercel AI SDK interface. Stop waiting for spinners and start seeing live status updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Incident.io MCP to Vercel AI SDK

Create your Vinkius account to connect Incident.io 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 Incident.io with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live incident monitoring for Vercel AI SDK

Pipe `list_incidents` directly into your UI components to display active alerts as they happen. Your users get a live feed of production status without manual refreshing. Since this MCP Server works with edge functions, data flows instantly. You aren't just fetching records; you're building a live dashboard that responds to state changes in real-time.

Contextual user lookups in your frontend

Map incident responders to your internal directory using `list_users` and `list_teams`. It helps your AI client identify who is on-call instantly. This prevents the usual back-and-forth when checking who owns a service. By binding these results to your UI, you give your users immediate visibility into team assignments.

Automated schedule awareness

Query `list_schedules` to determine who handles a specific alert. Your application logic can now route information to the right person before a human even opens the ticket. Integrating this into your stream ensures the AI client always has the latest roster. It removes the guesswork from paging rotations.

Setup guide

Set up Incident.io 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 Incident.io 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 Incident.io 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 Incident.io. 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 Incident.io 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 Incident.io MCP in Vercel AI SDK

Connect the MCP Server using the HTTP transport in your Vercel AI SDK project. You'll call `mcpClient.tools()` and pass them into your `streamText` function to get data.

Yes, but you should manage your own request frequency. The server doesn't block calls, so ensure your edge functions cache `list_incidents` results where appropriate.

It uses standard environment tokens. Provide your API key to the server, and your Vercel AI SDK client will handle the rest via the configured endpoint.

Your user and team data stays between the Incident.io API and your client. The server acts as a pass-through and doesn't store your sensitive personnel records.

It does. Because the tools return clean JSON, the SDK streams the output directly into your React or Next.js components without breaking the connection.

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