How to Use the Grafana MCP in Vercel AI SDK

Q: Is it possible to find specific Grafana dashboards with Vercel AI SDK?

You use searchdashboards to query by title or tag. It returns the UID, which you then use in your next call to pull panel details.

Stream real-time Grafana observability data directly into your Vercel AI SDK interface without the wait.

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Connect Grafana MCP to Vercel AI SDK

Create your Vinkius account to connect Grafana 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 Grafana with Vercel AI SDK

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Claude

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Live alert monitoring in your frontend

Stop refreshing pages to check system status. Your Vercel AI SDK app calls `firing_alerts` to pull active incidents directly into the UI state as they happen. Users see incident labels and annotations rendered in real-time. The data streams from the server to your component, replacing stale snapshots with live observability.

Dynamic dashboard inspection

Locate specific metrics by using `search_dashboards` to find the correct UID. Once you have the target, pass it to `get_dashboard` to pull the full panel configuration into your application logic. This workflow lets you build custom views that present complex Grafana data. You decide exactly which queries and panels your users interact with.

Manage your infrastructure sources

Check which databases and services are connected to your monitoring instance using `list_datasources`. This gives your application visibility into the available telemetry backends. Your code gains immediate awareness of the environment. It knows exactly where to look for data before attempting to query metrics.

Setup guide

Set up Grafana 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 Grafana 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 Grafana transactions",
});

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

Get your connection token →

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Why Choose Vinkius

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visibility into every interaction

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

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Common questions about Grafana MCP in Vercel AI SDK

Yes. You import the server via the MCP transport and pass the tools to your streamText function. It handles the connection and data flow automatically.

The SDK treats alert data as a standard tool call result. You get the JSON response from `firing_alerts` and map it to your React components instantly.

You use `search_dashboards` to query by title or tag. It returns the UID, which you then use in your next call to pull panel details.

No. The server acts as a transient bridge to your Grafana API. It does not store your dashboard data or metrics.

Your API token stays on the server. The MCP connection ensures your credentials are never exposed to the client-side code.

Use it with your favorite AI tools

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