How to Use the Watershed Climate MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK help with Watershed Climate data submissions?

Your agent handles the entire workflow. It first calls createupload to set up a container, then uses uploaddatarecords to populate it. You don't need to manually juggle IDs; your AI client manages the sequence for you.

Q: What information can I get about my emissions using the OpenAI Agents SDK?

You can list all GHG inventories and then use getinventory to drill down into a specific year's results. This shows your organization’s exact emissions composition, detailing Scope 1 through Scope 3 data.

Q: Does using the MCP Server affect data integrity?

The agent client uses validateupload before submitting anything. This step ensures that all activity data records meet Watershed's requirements, preventing silent errors in your final emissions measurements.

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Connect Watershed Climate MCP to OpenAI Agents SDK

Create your Vinkius account to connect Watershed Climate 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 Watershed Climate with OpenAI Agents SDK

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Manage Data Containers with MCP Server

Start by creating a new data upload container in Watershed Climate using `create_upload`. This acts as your batch grouping mechanism for all related activity data. You can later review or correct specific entries, either adding new records via `upload_data_records` or modifying existing ones with `update_upload_data_record`.

Validate and Process Emissions Data

To ensure accuracy, always call `validate_upload` before submitting. This checks data quality, catching errors that would otherwise reject your submission. Once validated, you use `submit_upload`. The tool returns a task ID; then, checking the status with `get_task_status` lets you track when the calculation engine finishes processing.

Track Goals and Generate Reports via MCP Server

Keep an eye on your company's progress by listing reduction targets using `list_reduction_targets`. If you need historical context, you can list all GHG inventories with `list_inventories` to see Scope 1, 2, and 3 emissions. Finally, calling `get_report` provides full report details for compliance frameworks like TCFD.

Setup guide

Set up Watershed Climate 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 Watershed Climate tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agent handles the entire workflow. It first calls `create_upload` to set up a container, then uses `upload_data_records` to populate it. You don't need to manually juggle IDs; your AI client manages the sequence for you.

You can list all GHG inventories and then use `get_inventory` to drill down into a specific year's results. This shows your organization’s exact emissions composition, detailing Scope 1 through Scope 3 data.

Yep. After submitting an upload for calculation, you get a task ID. Use `get_task_status` to check if Watershed Climate is still working on your submission or if it finished successfully.

The agent client uses `validate_upload` before submitting anything. This step ensures that all activity data records meet Watershed's requirements, preventing silent errors in your final emissions measurements.

This server handles Activity Data Records—the raw numbers like electricity usage or flight miles. The agent processes this activity data to calculate and store finalized GHG inventories.

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