How to Use the More Trees MCP in OpenAI Agents SDK

Q: How do I handle transaction failures when using More Trees with the OpenAI Agents SDK?

Use the checkmoretreesstatus tool to verify connection to the MCP Server before running your OpenAI Agents SDK pipeline. If a call fails, the SDK raises a standard exception, allowing your agent to retry the planttrees operation or log the error to your dashboard.

Q: Can the OpenAI Agents SDK automatically select planting locations via More Trees?

Yes, your OpenAI Agents SDK agent can call listprojects to fetch active More Trees reforestation programs. It then filters the results and passes the chosen project ID directly into the planttrees tool for targeted environmental impact.

Q: How does the OpenAI Agents SDK fetch certified proof of planting from More Trees?

The OpenAI Agents SDK agent invokes the getcertificate tool using the transaction ID generated during planting. This returns a verifiable More Trees certificate link that you can attach to customer receipts or store in your database.

Q: Can my OpenAI Agents SDK agent check my remaining balance before triggering a planting transaction on More Trees?

Yes, your OpenAI Agents SDK agent uses getaccount to verify your available More Trees credits before calling planttrees. This step prevents transaction failures due to insufficient funds.

Trigger automated tree-planting and fetch impact data right from your production OpenAI Agents SDK pipelines.

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Connect More Trees MCP to OpenAI Agents SDK

Create your Vinkius account to connect More Trees to OpenAI Agents 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 OpenAI Agents SDK

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Automate carbon offsets in OpenAI Agents SDK pipelines

The `plant_trees` tool lets your OpenAI Agents SDK system trigger reforestation projects directly from your transactional code through this MCP integration. When a customer checks out, your production agent catches the event, validates the quantity, and executes the planting call via More Trees. By using `list_projects` first, your OpenAI Agents SDK agent can dynamically select where More Trees plants based on current global initiatives. This keeps your More Trees environmental impact matching your company's localized sustainability goals without hardcoding project IDs.

Audit-ready ESG tracking with OpenAI Agents SDK

Your OpenAI Agents SDK agent calls `get_impact_report` to fetch current More Trees carbon offset metrics and updates your internal dashboards. This gives your compliance team immediate access to verified More Trees sustainability data without manual exports. If you need physical proof, the OpenAI Agents SDK agent runs `get_certificate` to pull official documents directly from More Trees. This ensures every transaction is backed by a verifiable More Trees carbon offset certificate that stands up to scrutiny.

Safe execution with built-in MCP Server guardrails

This MCP Server exposes the `get_forest` and `list_transactions` tools so your OpenAI Agents SDK agent can verify account ledger balances before committing funds to new trees. The SDK's built-in guardrails block unexpected More Trees volume spikes, preventing accidental over-purchasing during traffic surges. You can monitor these More Trees tool calls live via the OpenAI developer dashboard to trace exactly when `get_planting_status` runs. This setup gives you full visibility into your More Trees environmental impact spend without sacrificing OpenAI Agents SDK agent autonomy.

Setup guide

Set up More Trees MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all More Trees tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives More Trees tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate More Trees tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="More Trees Agent",
            instructions="You have access to More Trees tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about More Trees MCP in OpenAI Agents SDK

Use the `check_moretrees_status` tool to verify connection to the MCP Server before running your OpenAI Agents SDK pipeline. If a call fails, the SDK raises a standard exception, allowing your agent to retry the `plant_trees` operation or log the error to your dashboard.

Yes, your OpenAI Agents SDK agent can call `list_projects` to fetch active More Trees reforestation programs. It then filters the results and passes the chosen project ID directly into the `plant_trees` tool for targeted environmental impact.

The OpenAI Agents SDK agent invokes the `get_certificate` tool using the transaction ID generated during planting. This returns a verifiable More Trees certificate link that you can attach to customer receipts or store in your database.

Yes, your OpenAI Agents SDK agent uses `get_account` to verify your available More Trees credits before calling `plant_trees`. This step prevents transaction failures due to insufficient funds.

This MCP Server only touches API keys and planting transaction records, keeping customer personal information entirely out of the loop. All OpenAI Agents SDK requests run through an ephemeral V8 sandbox that wipes execution memory immediately after the tool returns your carbon offset data.

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