How to Use the More Trees MCP in Vercel AI SDK

Stream carbon offset data directly into your Vercel AI SDK interface to show customers their real-time environmental impact.

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Connect More Trees MCP to Vercel AI SDK

Create your Vinkius account to connect More Trees 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 More Trees with Vercel AI SDK

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Live impact reporting for Vercel AI SDK

Your AI client pushes data from `get_impact_report` straight to your frontend components. Users watch the numbers climb as their actions trigger reforestation events. Stop hiding backend processes behind loading spinners. This MCP Server updates your UI state instantly while the background job executes.

Automated planting triggers in your workflow

Connect your transaction logic to `plant_trees` within your streaming handlers. Every sale fires a request to the server, confirming the offset instantly. You handle the user feedback while the tool manages the API communication. It keeps your code clean and your reforestation data perfectly synced.

On-demand forest data verification

Call `get_forest` or `list_forests` to pull specific project details into your dashboard. You display exactly where those trees are growing. Your AI client manages the connection, so you just display the raw data. It’s the fastest way to build transparency into your sustainable product.

Setup guide

Set up More Trees 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 More Trees 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 More Trees transactions",
});

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

Get your connection token →

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

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Real-time monitoring

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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 More Trees MCP in Vercel AI SDK

Install the MCP client package and initialize the connection using your endpoint. Pass the tools retrieved from the server into your `generateText` function to start executing.

Yes, use the auth provider in your client setup to pass your tokens. This keeps your credentials secure while your agent interacts with the server.

It does. The lightweight transport allows you to trigger planting events without bloating your edge runtime or slowing down your response times.

Data flows directly from the platform's verified records via the tool output. You get the exact count of trees and carbon tonnage without any manual calculation.

Your data stays scoped to the specific API calls you initiate. We only send the minimum info required to process the planting request, ensuring your customer records remain isolated.

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