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How to Use the Watershed Climate MCP in Google ADK

Manage carbon reporting within your Google ADK enterprise agents.

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Google ADK

Connect Watershed Climate MCP to Google ADK

Create your Vinkius account to connect Watershed Climate to Google ADK 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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Ingest and Modify Activity Data

The `upload_data_records` tool lets you feed raw activity data into Watershed Climate. This function accepts batches of records, covering things like shipping or electricity use. If you find an error later, the `update_upload_data_record` tool lets your agent fix and correct specific entries before submission.

Submit and Track Emissions Calculations

To get your official carbon measurements, you must first call `validate_upload`. This confirms data quality. Then, the agent triggers the calculation with `submit_upload`. Monitoring progress is simple; use `get_task_status` to know exactly when Watershed Climate completes the complex processing.

Review Full Emissions Inventories and Reports

Your agent can list all GHG inventories using `list_inventories`, providing a year-over-year view of Scope 1, 2, and 3 emissions. Need the full details? The `get_report` tool accesses comprehensive reports covering multiple disclosure frameworks.

Setup guide

Set up Watershed Climate MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Watershed Climate tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Watershed Climate_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Watershed Climate tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Watershed Climate. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Watershed Climate MCP in Google ADK

The agent framework automates the upload cycle. It first calls `create_upload` to establish a container, then populates it with records using `upload_data_records`. Everything stays grouped and traceable within your BigQuery environment.
You can list measurements via `list_measurements` to see the specific calculated CO2e values. You also use `get_inventory` to get a high-level overview of your organization's total carbon footprint.
The agent uses `list_reports` to see every available output. From there, it calls `get_report`, retrieving detailed files and metadata about the disclosure frameworks covered by Watershed Climate.
Absolutely. The agent runs `validate_upload` first. This step is crucial because it guarantees that your activity data records are clean, preventing the system from failing during the final submission phase.
This server processes Activity Data Records—the raw inputs describing activities. The agent calculates emissions measurements by taking these records and applying appropriate emission factors for Watershed Climate.

Start using the Watershed Climate MCP today

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