How to Use the SkootEco MCP in OpenAI Agents SDK

Q: How does SkootEco manage my Scope 1, 2, and 3 emissions when using the OpenAI Agents SDK?

The addemission tool lets you log data across all scopes. Your agent handles the scope breakdown automatically, so you get a complete picture without having to worry about which category belongs where.

Q: Can I automate report generation with SkootEco and the OpenAI Agents SDK?

Absolutely. You can trigger getesgreport whenever needed, making it part of a scheduled process. Your agent just calls the tool and processes the output for you.

Q: Does using the MCP Server with the OpenAI Agents SDK help with compliance?

Yeah, because your agent can pull a full ESG report (getesgreport) directly from SkootEco. It gives you verifiable data needed for audits.

Q: If I need to track my impact profile using SkootEco and the OpenAI Agents SDK, what should I call?

You'll use the getimpactprofile tool. It compiles your usage patterns against sustainability goals, giving you a clear metric of where you stand.

Actionable ESG Compliance with OpenAI Agents SDK. Get audit-ready reports immediately.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect SkootEco MCP to OpenAI Agents SDK

Create your Vinkius account to connect SkootEco to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup SkootEco with OpenAI Agents SDK

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Track Emissions and Scope Boundaries

Use `add_emission` to log every piece of data that contributes to your carbon count—whether it's a routine ride or a major infrastructure change. This keeps your emissions records accurate, so you don't have to manually reconcile spreadsheets later. You can break down where the pollution comes from with `get_emissions_by_scope` and see categories using `list_categories`. It gives you granular data, letting you pinpoint exactly what needs fixing.

Generate Full ESG Reports

Need to impress compliance officers? Call `get_esg_report` right from your agent. The system pulls everything together—impact scores, emissions totals, and project details—into one package you can actually use. No more piecing reports together. Furthermore, it provides a summary overview via `get_report`, pulling in metrics like the total tree count (`get_tree_count`) alongside your operational data. It’s a single source of truth for your sustainability claims.

Offsetting and Climate Action

Don't just report emissions; fix them. The agent handles the whole process: you check available options with `list_offsets`, then use `get_offset` to review details for a specific project. Once you decide, `purchase_offset` buys it automatically. Want to go above and beyond? You can run `plant_tree` or see how many trees you've already funded using `get_tree_count`. It makes making climate commitments part of your operational flow.

Setup guide

Set up SkootEco 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 SkootEco tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate SkootEco 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="SkootEco Agent",
            instructions="You have access to SkootEco 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 SkootEco MCP in OpenAI Agents SDK

The `add_emission` tool lets you log data across all scopes. Your agent handles the scope breakdown automatically, so you get a complete picture without having to worry about which category belongs where.

Absolutely. You can trigger `get_esg_report` whenever needed, making it part of a scheduled process. Your agent just calls the tool and processes the output for you.

The server tracks emissions data (including scope details), impact metrics, and project/offset records. Specifically, it handles carbon emission logs.

Yeah, because your agent can pull a full ESG report (`get_esg_report`) directly from SkootEco. It gives you verifiable data needed for audits.

You'll use the `get_impact_profile` tool. It compiles your usage patterns against sustainability goals, giving you a clear metric of where you stand.

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