How to Use the New Relic MCP in Vercel AI SDK

Pipe live NerdGraph telemetry straight into your Next.js frontend using the Vercel AI SDK and this MCP server.

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Connect New Relic MCP to Vercel AI SDK

Create your Vinkius account to connect New Relic 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 New Relic with Vercel AI SDK

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Build live APM dashboards with this MCP Server

Your React application needs real-time observability data, but building custom NerdGraph wrappers takes weeks. Connecting the Vercel AI SDK to this endpoint changes the equation entirely. Developers just pass the `run_nrql` and `get_apm_summary` tools to `streamText`. Users type natural language questions into your frontend, and the framework streams back exact golden metrics without a single loading spinner.

Stream active incidents to the UI

End users hate staring at blank screens while backend queries churn. The AI SDK solves this by pushing partial tool results to the client immediately. When your agent calls `list_alerts` or `list_service_levels`, the Next.js frontend renders those failing SLOs instantly. You build interactive incident response boards where the AI fetches entity details via `get_entity_details` right before the user's eyes.

Deploy global monitoring functions

Running heavy observability queries usually means managing bulky backend services. Edge Functions combined with our managed endpoints bypass that entirely. Your serverless route calls `list_accounts` and `list_dashboards` through the `mcpClient`. Vinkius handles the underlying NerdGraph authentication so your edge workers stay fast and focused on generating UI components.

Setup guide

Set up New Relic 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 New Relic 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 New Relic 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 New Relic. 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 New Relic 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 New Relic MCP in Vercel AI SDK

Install @ai-sdk/mcp and set up your transport. Point createMCPClient to your Vinkius endpoint URL. Grab the tools with mcpClient.tools() and drop them into your text generation call.

Yes, the framework handles the streaming automatically. When the MCP server executes the query tool, the raw data flows right into your React components as it arrives.

You handle authentication through the Vinkius platform token. The SDK authProvider manages user-specific credentials if you need individual tenant access to NerdGraph.

The SDK catches tool execution errors and surfaces them in the stream. You can render a fallback UI component while the agent retries the data pull.

We run the connection inside an ephemeral V8 Isolate Sandbox. Your application performance metrics and active incident payloads pass through memory and immediately disappear. Vinkius never stores your golden metrics.

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