How to Use the Clever Cloud (Developer PaaS API) MCP in Vercel AI SDK

Q: How do I connect the Clever Cloud (Developer PaaS API) to Vercel AI SDK?

Install @ai-sdk/mcp and set up the client using createMCPClient. Pass the HTTP transport URL provided by Vinkius. Call mcpClient.tools() to grab the MCP tools and feed that into your streamText function.

Q: Can Vercel AI SDK read Clever Cloud (Developer PaaS API) application logs?

Yes, the agent can call getapplicationlogs directly. The Vercel SDK will stream those log entries straight to your frontend UI. Your users see the output instantly.

Q: What happens if a deployment fails while streaming?

The triggerdeployment tool returns the failure status back to the agent. Your UI will render the error message immediately since the SDK streams the tool result in real-time.

Stream Clever Cloud infrastructure updates directly into your React app using Vercel AI SDK.

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Connect Clever Cloud (Developer PaaS API) MCP to Vercel AI SDK

Create your Vinkius account to connect Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) with Vercel AI SDK

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Deploy Apps with Vercel AI SDK

Your end users expect instant feedback when spinning up infrastructure. Hooking this MCP Server into your Next.js frontend means they watch the deployment happen live. Calling `create_application` fires off the request, while the AI agent streams the status back to the client. You don't want a loading spinner hiding the actual work. Triggering `trigger_deployment` lets the SDK push real-time event updates to the UI. Users see exactly when their code hits the servers.

Stream Live Infrastructure Logs

Debugging PaaS issues usually means digging through terminal windows or dashboard tabs. You can build a direct pipeline into your own dashboard using the `get_application_logs` tool. The agent reads the raw log data and pipes it straight into your React components. Developers see exactly why a build failed the second it happens. Fetching `list_instances` shows what is currently running, giving your users immediate context without leaving your application.

Provision Add-ons via Chat

Setting up databases and object storage takes too many clicks in a standard control panel. Give your users a chat interface that understands their requests and calls `provision_addon` behind the scenes. They ask for a PostgreSQL database, and the agent handles the configuration payload. Managing team access works exactly the same way. The agent can pull the user's context with `get_current_user` and list their available teams using `list_organizations`, displaying the options right in the chat window.

Setup guide

Set up Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) 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 Clever Cloud (Developer PaaS API) transactions",
});

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

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Common questions about Clever Cloud (Developer PaaS API) MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and set up the client using `createMCPClient`. Pass the HTTP transport URL provided by Vinkius. Call `mcpClient.tools()` to grab the MCP tools and feed that into your `streamText` function.

Yes, the agent can call `get_application_logs` directly. The Vercel SDK will stream those log entries straight to your frontend UI. Your users see the output instantly.

The Vinkius HTTP transport works perfectly with Edge runtime environments. You just need to ensure you close the MCP connection with `mcpClient.close()` after the text generation finishes.

The `trigger_deployment` tool returns the failure status back to the agent. Your UI will render the error message immediately since the SDK streams the tool result in real-time.

The V8 Isolate Sandbox on Vinkius processes your infrastructure metadata and raw application logs entirely in memory. Every execution environment is ephemeral and destroys itself after the run finishes. Nothing gets persisted to disk.

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