Can my agent trigger a climate impact like planting a tree through chat?

Yes. Use the 'create_impact' tool. By passing the impact type (e.g., 'tree') and the quantity, the agent can programmatically trigger verified climate actions natively through Greenspark's API.

How do I check my total accumulated impact via chat?

You can use the 'get_impact_summary' tool. Your agent will fetch the total count of trees planted, kg of CO2 offset, and plastic bottles rescued, providing a real-time overview of your sustainability goals flawlessly.

Can I calculate the carbon footprint of a transaction through the agent?

Absolutely. Use the 'estimate_footprint' tool. Provide the transaction amount and merchant category, and your agent will return the estimated CO2e impact using Greenspark's estimation engines synchronously.

Greenspark MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Greenspark
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Greenspark through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Greenspark Assistant",
            instructions=(
                "You help users interact with Greenspark. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Greenspark"
        )
        print(result.final_output)

asyncio.run(main())

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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 Greenspark MCP Server

Connect your Greenspark account to any AI agent and automate your business's environmental impact. Use natural language to trigger verified climate actions like planting trees or rescuing ocean plastic, and monitor your total sustainability goals in real-time.

The OpenAI Agents SDK auto-discovers all 12 tools from Greenspark through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Greenspark, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Impact Orchestration — Trigger new climate impacts programmatically by passing specific event data and quantities natively
Live Tracking — Retrieve detailed impact records and summary reports to analyze your total environmental contribution flawlessly
Project Discovery — List and explore the vetted environmental projects your contributions support globally
Emission Estimation — Calculate the carbon footprint of transactions based on merchant categories to automate offsetting synchronously
Asset Management — List and manage available impact badges and widgets to showcase your verified impact natively
Webhook Integration — Configure and audit API webhooks to keep your internal systems synchronized with project updates flawlessly

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

How to Connect Greenspark to OpenAI Agents SDK via MCP

Follow these steps to integrate the Greenspark MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Greenspark

Why Use OpenAI Agents SDK with the Greenspark MCP Server

OpenAI Agents SDK provides unique advantages when paired with Greenspark through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Greenspark + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Greenspark MCP Server delivers measurable value.

Automated workflows: build agents that query Greenspark, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Greenspark, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Greenspark tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Greenspark to resolve tickets, look up records, and update statuses without human intervention

Greenspark MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Greenspark to OpenAI Agents SDK via MCP:

create_impact

Trigger a new climate impact (e.g. plant a tree)

create_webhook

Configure a new API webhook

estimate_footprint

Calculate the carbon footprint of a transaction

get_impact

Get details for a specific impact record

get_impact_summary

Get total aggregated impact data for the account

get_project

Get details for a specific environmental project

get_subscription

Get details of the account Greenspark subscription

list_badges

List available impact badges and widgets

list_impact_types

List available types of climate impact

list_impacts

List historical climate impacts generated

list_projects

List environmental projects supported by Greenspark

list_webhooks

List configured API webhooks

Example Prompts for Greenspark in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Greenspark immediately.

"Show my total climate impact summary"

"Plant 10 trees for our latest customer sale"

"Estimate the carbon footprint of a $50 flight purchase"

Troubleshooting Greenspark MCP Server with OpenAI Agents SDK

Common issues when connecting Greenspark to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Greenspark + OpenAI Agents SDK FAQ

Common questions about integrating Greenspark MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.