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More Trees MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Check Moretrees Status, Get Account, Get Certificate, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect More Trees 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 More Trees app connector for Vercel AI SDK is a standout in the Business Intelligence category — giving your AI agent 11 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 More Trees, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
More Trees
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 More Trees MCP Server

Connect your More Trees account to any AI agent and manage reforestation operations.

The Vercel AI SDK gives every More Trees tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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

  • Project Management — Browse reforestation projects and details
  • Tree Planting — Submit planting orders with species and quantity
  • Transaction Tracking — View planting history and status
  • Forest Exploration — Browse forests with locations and tree counts
  • Impact Reports — View CO2 offset and environmental metrics
  • Certificates — Download digital planting certificates

The More Trees MCP Server exposes 11 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 11 More Trees tools available for Vercel AI SDK

When Vercel AI SDK connects to More Trees through Vinkius, your AI agent gets direct access to every tool listed below — spanning carbon-offset, reforestation, sustainability, 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_moretrees_status

Verify API connectivity

get_account

Get account info

get_certificate

Get planting certificate

get_forest

Get forest info

get_impact_report

Get impact report

get_planting_status

Get planting status

get_project

Get project details

list_forests

List all forests

list_projects

List reforestation projects

list_transactions

List planting transactions

plant_trees

Plant trees

Connect More Trees to Vercel AI SDK via MCP

Follow these steps to wire More Trees 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 11 tools from More Trees and passes them to the LLM

Why Use Vercel AI SDK with the More Trees MCP Server

Vercel AI SDK provides unique advantages when paired with More Trees 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 More Trees integration everywhere

03

Built-in streaming UI primitives let you display More Trees 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

More Trees + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for More Trees in Vercel AI SDK

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

01

"Plant 100 trees in the Amazon project."

02

"Show my environmental impact report."

03

"List all available forests."

Troubleshooting More Trees MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

More Trees + Vercel AI SDK FAQ

Common questions about integrating More Trees 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.