How to Use the Guance Cloud / 观测云 MCP in Vercel AI SDK

Q: How do I connect Guance Cloud / 观测云 to the Vercel AI SDK?

You initialize the client using the @ai-sdk/mcp package and your Vinkius endpoint URL. Once connected, you pass the server tools into your streamText configuration to start querying.

Stream real-time observability data from Guance Cloud / 观测云 directly into your Vercel AI SDK frontend.

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Connect Guance Cloud / 观测云 MCP to Vercel AI SDK

Create your Vinkius account to connect Guance Cloud / 观测云 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 Guance Cloud / 观测云 with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live dashboard rendering with Vercel AI SDK

Pipe live infrastructure metrics into your UI by connecting the MCP server to your stream. You pull dashboard lists with `list_dashboards` and render the output as React components while the stream is still active. Stop waiting for spinners. Your users see the data arrive in chunks as the agent executes `query_data` to fetch current system health.

Instant event surfacing in TypeScript

Feed critical alerts into your application state without extra backend routes. Your agent calls `list_events` and your frontend displays the status changes as they occur. This keeps your users informed of system shifts instantly. It's just cleaner to handle the data flow directly from the MCP tool call to your component.

Automated billing and monitor tracking

Track your observability costs and monitor configurations using standard TypeScript patterns. You call `get_billing` to verify usage tiers and `list_monitors` to check active alert rules. The Vercel AI SDK handles these tool outputs as structured JSON. You simply map those objects to your dashboard widgets.

Setup guide

Set up Guance Cloud / 观测云 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 Guance Cloud / 观测云 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 Guance Cloud / 观测云 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 Guance Cloud / 观测云. 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 Guance Cloud / 观测云 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 Guance Cloud / 观测云 MCP in Vercel AI SDK

You initialize the client using the `@ai-sdk/mcp` package and your Vinkius endpoint URL. Once connected, you pass the server tools into your streamText configuration to start querying.

Yes. The AI returns the tool result, and your frontend renders it immediately. It works for any data returned by the server tools.

Since the SDK supports streaming, the tool results appear as they are generated. You get the data as soon as the API responds.

You have full access to all ten server tools. This includes everything from workspace management to raw data queries.

Vinkius handles the auth layer via endpoint tokens. Your data remains isolated in an ephemeral sandbox environment, and the client only sees what you explicitly authorize.

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