How to Use the More Trees MCP in Mastra AI

Q: How do I check my current planting status?

Call getplantingstatus to see exactly where your transactions stand. Your agent can run this check before or after any major business milestone.

Build reliable sustainability workflows in Mastra AI using automated planting and impact tracking tools.

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Connect More Trees MCP to Mastra AI

Create your Vinkius account to connect More Trees to Mastra AI 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 Mastra AI

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Resilient reforestation workflows with Mastra AI

Wrap `plant_trees` in a workflow that handles retries if the connection drops. Your agent ensures every transaction counts toward your sustainability goals. If a request fails, the workflow engine catches it. You define the logic, and the agent executes the recovery steps without manual oversight.

Automated impact auditing for Mastra AI

Build a recurring task that calls `get_impact_report` and logs the results to your internal database. You stay audit-ready without lifting a finger. Your agent monitors the metrics and alerts you if growth slows. It keeps your environmental reporting consistent and accurate.

Conditional planting logic in your agent

Use `list_projects` to decide where to allocate funds based on project status. Your agent chooses the best target before calling `plant_trees`. This adds a layer of intelligence to your offsets. You aren't just planting; you're managing a portfolio of environmental impact.

Setup guide

Set up More Trees MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All More Trees tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "more-trees-mcp-client",
  servers: {
    "more-trees-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "More Trees Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to More Trees tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent More Trees transactions"
);
console.log(result.text);

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Why Choose Vinkius

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Single dashboard

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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 Mastra AI

Define the server in your Mastra client configuration and spread the tools into your agent definition. It automatically detects the available endpoints for your workflows.

You can enable tool approval in your agent config. This forces the agent to pause until you confirm the planting action, giving you final say on costs.

The framework handles retries natively. If a tool call fails, the engine automatically attempts to reconnect based on the policy you define.

Call `get_planting_status` to see exactly where your transactions stand. Your agent can run this check before or after any major business milestone.

Your endpoint token is handled by the Vinkius infrastructure. The agent only accesses the tools it needs, keeping your environment keys separate from the logic.

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