How to Use the CockroachDB Cloud MCP in Vercel AI SDK

Q: Can I view CockroachDB Cloud node health in Vercel AI SDK?

Yes, just invoke the listclusternodes tool within your agent's tool set. The results will stream into your frontend component, providing a live view of your distributed database nodes.

Stream CockroachDB Cloud cluster data directly into your Vercel AI SDK frontends for live UI updates.

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Connect CockroachDB Cloud MCP to Vercel AI SDK

Create your Vinkius account to connect CockroachDB Cloud 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 CockroachDB Cloud with Vercel AI SDK

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Live cluster monitoring for AI-SDK

Feed your UI real-time cluster metrics by connecting this MCP Server to your Vercel AI SDK project. When you use `list_cockroach_clusters` or `list_cluster_nodes`, the data flows straight into your React components without the usual wait times. Your users see their infrastructure state update as the AI agent fetches it. It turns your dashboard into a live window for CockroachDB Cloud status.

Audit infrastructure with AI-SDK

Check your network rules and encryption keys through your application logic. The `list_network_allowlist` tool lets you verify security configurations during your build process. Catch misconfigured clusters before they hit production. You get the exact firewall state returned as clean JSON ready for your app to display.

Manage operations via AI-SDK

Track cluster upgrades and scaling events by calling `list_cluster_operations` inside your edge functions. The AI agent reports back on ongoing maintenance tasks. This keeps your application informed about background processes. Your users never have to guess if a cluster update is still in progress.

Setup guide

Set up CockroachDB Cloud 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 CockroachDB Cloud 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 CockroachDB Cloud transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CockroachDB Cloud. 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.

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Common questions about CockroachDB Cloud MCP in Vercel AI SDK

You initialize the client with your endpoint and pass the tools to your streamText function. The SDK handles the connection to the MCP Server so you can start calling functions like get_cluster_cloud_details immediately.

Yes, just invoke the `list_cluster_nodes` tool within your agent's tool set. The results will stream into your frontend component, providing a live view of your distributed database nodes.

You control exactly which tools are available by passing them into the agent's tool definition. This lets you restrict access to sensitive operations like listing encryption keys while keeping monitoring tools active.

The server connects directly to your CockroachDB Cloud account via the API. It fetches live data from the cluster management service to provide accurate infrastructure reports.

Your cluster configuration and metadata remain isolated within your session. We use ephemeral connections for each request, ensuring your database connection strings and node IP addresses aren't logged or stored.

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