How to Use the Climatiq Carbon Calculations MCP in OpenAI Agents SDK

Q: Does the agent know which emission units to use?

The model figures it out by calling the listunits tool. It checks the accepted API formats before submitting a calculation, preventing validation errors during the request.

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Connect Climatiq Carbon Calculations MCP to OpenAI Agents SDK

Create your Vinkius account to connect Climatiq Carbon Calculations 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 Climatiq Carbon Calculations with OpenAI Agents SDK

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Calculate emissions with OpenAI Agents SDK

Your agent needs hard numbers to back up sustainability claims. Connect the `estimate_emissions` tool to instantly convert raw activity data into accurate carbon footprints. Production systems demand efficiency. Instead of making hundreds of separate API calls, hand your agent the `batch_estimate_emissions` tool to process up to 100 calculations in a single request while the MCP protocol handles the routing and OpenAI manages the tracing.

Search factors in real-time

Hardcoding emission factors is a recipe for outdated reports. Let your agent dynamically query the Climatiq database using `search_emission_factors` to find exact matches for specific activities. The model can validate these factors before applying them. By combining `list_regions` and `list_years`, the agent ensures it only pulls metrics relevant to the exact geographic location and timeframe of the activity.

Map industry classifications

Financial agents often deal with standard industry codes rather than direct energy readings. The `estimate_by_classification` tool bridges this gap by calculating footprints based directly on ISIC or NACE codes. This MCP Server turns raw financial ledgers into carbon ledgers. Your system automatically maps expenditures to specific sectors using `list_sectors` and generates audit-ready sustainability metrics.

Setup guide

Set up Climatiq Carbon Calculations 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 Climatiq Carbon Calculations tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the openai-agents package first. Create an MCPServerStreamableHttp instance pointing to your Vinkius MCP endpoint and pass it to your Agent constructor. The tools will auto-discover instantly.

Yes, you can optimize startup times significantly. Set cacheToolsList=True when initializing the server to prevent the agent from re-fetching the tool definitions on every run.

The model figures it out by calling the `list_units` tool. It checks the accepted API formats before submitting a calculation, preventing validation errors during the request.

You can confidently deploy this setup. The SDK provides built-in guardrails to validate the emission calculations before execution, plus full tracing in the OpenAI dashboard.

Vinkius runs this MCP Server in an isolated V8 sandbox. The raw activity metrics and industry codes you send for calculation vanish immediately after processing, leaving no trace behind.

Use it with your favorite AI tools

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