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How to Use the Cloverly MCP in Vercel AI SDK

Calculate and purchase carbon offsets live in your Next.js frontend using the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Cloverly MCP to Vercel AI SDK

Create your Vinkius account to connect Cloverly 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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Stream Carbon Estimates Directly to Vercel AI SDK UIs

`create_estimate` calculates carbon footprints from shipping routes or transactions and streams the numbers directly to your React components. This setup uses `createMCPClient` to pipe real-time environmental data straight to your user's browser without page refreshes. Your frontend triggers `list_estimates` as the user types, updating the interface instantly. Because this MCP Server runs on V8 isolates, the latency stays low enough for edge functions to handle the calculations before the user clicks buy.

Instant Carbon Offsetting in Next.js Checkouts

`create_purchase` executes offset transactions directly inside your streaming AI responses. You pass these tools into `streamText` so the agent can buy verified credits the moment a customer approves the shipping option. The UI shows the transaction state changing in real-time as `get_purchase` confirms the retirement of the carbon credits. You don't need to build custom webhook listeners when the SDK handles the state machine for you.

Live Impact Dashboards Without Loading Spinners

`get_impact_summary` pulls your total carbon offset metrics and feeds them straight into your Svelte or Vue dashboard. You call `mcpClient.tools()` to expose the MCP Server analytics tools directly to your generative UI layout. Users watch their cumulative environmental savings update live via `get_impact_by_type` as the stream processes. Remember to run `mcpClient.close()` once the stream finishes to keep your serverless functions clean.

Setup guide

Set up Cloverly 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Cloverly tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Cloverly transactions",
});

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

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

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 Cloverly MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and use `createMCPClient` pointing to your unique Vinkius URL. Pass the output of `mcpClient.tools()` into your `generateText` or `streamText` call to give your agent immediate access.
Yes. This MCP Server runs on lightweight V8 isolates, making it fully compatible with edge-based Next.js API routes and serverless setups.
You configure `authProvider` during the client setup to manage your MCP credentials safely. Your agent then uses `create_purchase` to buy offsets without exposing private keys to the client.
Use `list_projects` to fetch active projects from the server. Your agent can display these options to users during the checkout stream.
We isolate all execution blocks to prevent data leaks. Your shipping addresses and purchase amounts sent to `create_estimate` are processed in an ephemeral sandbox and never stored on Vinkius servers.

Start using the Cloverly MCP today

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