How to Use the Climatiq Carbon Calculations MCP in Google ADK

Turn BigQuery data into carbon footprints using Google ADK and Gemini.

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Connect Climatiq Carbon Calculations MCP to Google ADK

Create your Vinkius account to connect Climatiq Carbon Calculations 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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Setup Climatiq Carbon Calculations with Google ADK

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Batch process carbon metrics

Gemini models can digest massive amounts of supply chain data at once. Feed that context directly into the `batch_estimate_emissions` tool to calculate up to 100 different carbon footprints simultaneously. The Google ADK makes this workflow incredibly fast. Your enterprise agent pulls raw activity records from BigQuery, formats the JSON array, and gets exact emission numbers back through the MCP Server without breaking a sweat.

Search factors using Google ADK

Finding the right emission factor usually requires manual database searches. Your agent handles this autonomously by calling `search_emission_factors` to locate specific metrics for any material or transport method. Context matters for accurate reporting. The agent cross-references results using `list_regions` and `list_sources` to ensure the carbon calculations match the specific geographic footprint of your Google Cloud operations.

Automate industry code conversions

Procurement teams track spending by NACE or ISIC codes. The `estimate_by_classification` tool takes those standard industry classifications and instantly translates them into estimated carbon emissions. You do not need to build complex mapping tables in Vertex AI. Just expose the MCP tools like `list_sectors` and `list_categories` to let Gemini figure out the exact industrial context before running the math.

Setup guide

Set up Climatiq Carbon Calculations 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

Install Google ADK

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

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

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 Climatiq Carbon Calculations 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="Climatiq Carbon Calculations_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Climatiq Carbon Calculations tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Climatiq Carbon Calculations MCP in Google ADK

Install google-adk via pip. Initialize a McpToolset with your Vinkius HTTP endpoint and pass it into the LlmAgent tools array.

You have full control over the exposed surface area. Use the tool_names parameter in your toolset configuration to restrict the agent to specific functions like estimate_emissions.

The database covers multiple timeframes for accurate tracking. Agents call the list_years tool to find available historical factors before running calculations on older BigQuery datasets.

The model reads the tool schemas automatically. If it gets confused about measurements, it will trigger the list_units tool to verify the correct API format before submitting.

Your proprietary supply chain figures and emission estimates stay protected. Vinkius operates a zero-trust MCP architecture where every calculation runs in a secure sandbox and terminates immediately upon completion.

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