How to Use the Watershed Climate MCP in Google ADK
Manage carbon reporting within your Google ADK enterprise agents.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Watershed Climate MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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.
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
Use it with your favorite AI tools
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