How to Use the Emissions API MCP in Google ADK

Q: How do I configure the Emissions API MCP Server inside the Google ADK?

Import McpToolset from the Google ADK and pass your Vinkius HTTP server parameters to it. Then, assign this toolset to your LlmAgent constructor so Gemini can access the gas tracking tools.

Q: Can I restrict which Emissions API tools are visible to my Google ADK agent?

Yes, use the optional toolnames filter when instantiating the Google ADK toolset. This lets you expose only getcarbonmonoxide while hiding the other gas endpoints from Gemini.

Q: How does Gemini use Emissions API data alongside BigQuery in the Google ADK?

The Google ADK agent pulls current gas readings using getnitrogendioxide and writes them to a BigQuery table. It then runs SQL queries on your historical data to compare current emissions against past baselines.

Connect the Emissions API to Gemini with Google ADK to analyze massive planetary gas datasets inside BigQuery.

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Connect Emissions API MCP to Google ADK

Create your Vinkius account to connect Emissions API 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 Emissions API with Google ADK

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Query nitrogen dioxide with Google ADK and Gemini

The `get_nitrogen_dioxide` tool feeds raw atmospheric data straight into Gemini's context window via the Google ADK. Gemini processes millions of tokens of historical gas readings to find long-term environmental trends. This Google ADK integration lets you cross-reference active nitrogen dioxide metrics with your existing enterprise data stored in BigQuery. The Gemini agent extracts the raw API outputs and writes structured summaries directly to your cloud data warehouse.

Run spatial analysis using Google ADK tools

The `get_geojson_emissions` tool pulls geographic boundary data that your Google ADK agent maps to physical coordinates. This allows Gemini to pinpoint specific industrial zones that are venting gases. You configure the toolset by passing the Vinkius HTTP transport parameter to your Google ADK agent. This lets your Gemini agent call the geojson endpoints alongside Vertex AI tools in a single unified execution thread.

Monitor methane and ozone at Google Cloud scale

The `get_methane` and `get_ozone` tools provide real-time emission indexes that feed directly into your Google ADK monitoring pipelines. The Gemini agent monitors these endpoints to trigger automated alerts when safety thresholds are crossed. By using this MCP Server, your Google ADK agent handles the heavy lifting of parsing complex environmental schemas. It converts raw gas parts-per-billion metrics into clean, structured tables ready for your Google Cloud dashboard.

Setup guide

Set up Emissions API 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 Emissions API 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="Emissions API_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Emissions API tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Emissions API. 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 Emissions API MCP in Google ADK

Import `McpToolset` from the Google ADK and pass your Vinkius HTTP server parameters to it. Then, assign this toolset to your `LlmAgent` constructor so Gemini can access the gas tracking tools.

Yes, use the optional `tool_names` filter when instantiating the Google ADK toolset. This lets you expose only `get_carbon_monoxide` while hiding the other gas endpoints from Gemini.

The Google ADK agent pulls current gas readings using `get_nitrogen_dioxide` and writes them to a BigQuery table. It then runs SQL queries on your historical data to compare current emissions against past baselines.

The MCP integration supports both standard Stdio and streamable HTTP transports. For cloud-deployed Gemini agents, the streamable HTTP transport connects your agent directly to the managed Vinkius endpoint.

No, all geographic bounding boxes and gas product requests are transmitted over encrypted TLS directly to the isolated runtime. The MCP Server operates on a zero-trust architecture, ensuring your coordinate queries remain completely private.

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