How to Use the Ember Climate MCP in Google ADK

Q: Can I restrict which Ember Climate tools my Google ADK agent sees?

Yes. The toolnames filter lets you expose only what you need. If you only want emissions data, you just expose getpowersectoremissionsyearly and hide the rest from the MCP server.

Q: Does the agent know which country codes to use for queries?

It figures them out dynamically. By calling getapioptions, the agent retrieves the exact entity codes recognized by the API. It stops the model from guessing ISO codes.

Feed Ember Climate into your Google ADK setup to analyze energy transitions with massive context windows.

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Connect Ember Climate MCP to Google ADK

Create your Vinkius account to connect Ember 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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Setup Ember Climate with Google ADK

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Map energy transition timelines

`get_electricity_generation_yearly` extracts the exact TWh output and percentage share of specific energy sources for any country. Your Gemini agent pulls a decade of this data to track fossil fuel phase-outs. The numbers show the hard reality of grid transitions. Google ADK handles the massive data volume easily. You dump ten years of global generation data into the agent's context window. Gemini processes the entire history at once to spot macro trends in coal retirement.

Analyze emissions with this MCP Server

`get_power_sector_emissions_monthly` delivers granular CO2 data for regional power sectors. Your agent uses this to track seasonal pollution spikes during winter heating or summer cooling months. It highlights exactly when grids rely on peaker plants. You can pipe this output straight into Vertex AI pipelines. The agent grabs the raw emissions data and stages it for further processing. If you need to verify the exact dataset schema, `get_api_options` provides the exact filter names.

Forecast regional grid demand

`get_electricity_demand_yearly` pulls national energy consumption trends over long time horizons. Your agent cross-references this with `get_installed_capacity_monthly` to see if renewable deployment is keeping pace with demand growth. This setup thrives in the Google Cloud ecosystem. Your agent fetches the data, formats it, and writes the results directly into BigQuery tables. You get automated, up-to-date energy models without manual data entry.

Setup guide

Set up Ember 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

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 Ember 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="Ember Climate_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Ember Climate 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 Ember 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 Ember Climate MCP in Google ADK

Install the google-adk package. Create a McpToolset using your server URL and pass it to your LlmAgent. You can filter the exposed tools if you only want to use specific endpoints.

Gemini's massive token context changes how you handle time-series data. Your agent can ingest raw output from get_electricity_demand_monthly spanning fifty countries and twenty years in a single prompt.

Yes. The tool_names filter lets you expose only what you need. If you only want emissions data, you just expose get_power_sector_emissions_yearly and hide the rest from the MCP server.

It figures them out dynamically. By calling get_api_options, the agent retrieves the exact entity codes recognized by the API. It stops the model from guessing ISO codes.

The connection is strictly one-way for data retrieval. The server processes requests for public metrics like monthly wind capacity and returns the numbers. It has zero access to your BigQuery datasets or Google Cloud credentials.

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