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Cloverly MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Cloverly Status, Create Estimate, Create Purchase, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cloverly through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Cloverly app connector for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Cloverly, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Cloverly
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cloverly MCP Server

Connect your Cloverly account to any AI agent and take full control of your sustainability initiatives and automated carbon management workflows through natural conversation.

The Vercel AI SDK gives every Cloverly tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Footprint Orchestration — Calculate real-time carbon footprint estimates for diverse activities including logistics (freight, shipping), travel (flights, vehicles), and energy usage programmatically
  • Automated Offset Ingestion — Execute the purchase of carbon offsets based on specific activity estimates or fixed currency amounts to maintain high-fidelity sustainability compliance
  • Project Intelligence — Access your complete directory of high-impact environmental projects (wind, solar, reforestation) to understand the source of your offsets directly through your agent
  • Transaction Monitoring — Programmatically track your purchase history and retrieve detailed metadata, certificates, and receipts for operational and regulatory reporting
  • Sustainability Visibility — Check the status of individual offset purchases and monitor account-level metadata to perfectly coordinate your organization's climate action

The Cloverly MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cloverly tools available for Vercel AI SDK

When Vercel AI SDK connects to Cloverly through Vinkius, your AI agent gets direct access to every tool listed below — spanning carbon-offsetting, sustainability, emissions-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_cloverly_status

Verify connectivity

create_estimate

Create a carbon estimate

create_purchase

Purchase carbon offsets

get_account

Get account info

get_estimate

Get estimate details

get_impact_by_type

Get impact by type

get_impact_summary

Get impact summary

get_project

Get project details

get_purchase

Get purchase details

list_estimates

List estimates

list_projects

List offset projects

list_purchases

List purchases

Connect Cloverly to Vercel AI SDK via MCP

Follow these steps to wire Cloverly into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Cloverly and passes them to the LLM

Why Use Vercel AI SDK with the Cloverly MCP Server

Vercel AI SDK provides unique advantages when paired with Cloverly through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cloverly integration everywhere

03

Built-in streaming UI primitives let you display Cloverly tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Cloverly + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Cloverly MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Cloverly in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Cloverly tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Cloverly capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Cloverly through natural language queries

Example Prompts for Cloverly in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cloverly immediately.

01

"Calculate the carbon footprint for a 10kg shipment from Berlin to Paris."

02

"List the available reforestation projects on Cloverly."

03

"Show the status of my latest offset purchase 'pur_456'."

Troubleshooting Cloverly MCP Server with Vercel AI SDK

Common issues when connecting Cloverly to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cloverly + Vercel AI SDK FAQ

Common questions about integrating Cloverly MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.