How to Use the Greenspark MCP in Google ADK

Q: How do I connect the Greenspark MCP Server to Gemini using the Google ADK?

Initialize the toolset using McpToolset with the server HTTP URL and pass it to your LlmAgent. Your Gemini agent will immediately gain access to tools like createimpact and estimatefootprint.

Q: Can my Google ADK agent query historical Greenspark transactions?

Yes. The agent uses listimpacts to fetch historical records and can feed that data directly into BigQuery for long-term sustainability reporting.

Q: Does the Greenspark MCP Server support BigQuery integration via Google ADK?

Yes. The agent can fetch project details via getproject and join that metadata directly with BigQuery transaction datasets to build internal dashboards.

Connect Gemini models to Greenspark via Google ADK to run carbon calculations directly on BigQuery transaction data.

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Connect Greenspark MCP to Google ADK

Create your Vinkius account to connect Greenspark 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 Greenspark with Google ADK

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Enterprise Footprint Auditing

The `estimate_footprint` tool processes raw transaction records directly from BigQuery so your Google ADK agent can calculate your carbon footprint. The agent analyzes your enterprise purchase logs and determines the exact environmental cost of your cloud operations. The Google ADK handles these massive Greenspark calculations by feeding transaction batches directly into Gemini's million-token context window. The agent processes thousands of rows at once, summarizing your total carbon offsets using `get_impact_summary`.

Automated Climate Action

The `create_impact` tool triggers environmental actions like tree planting directly from your Google ADK enterprise workflows. When your Gemini-powered agent detects a new transaction in Vertex AI, it automatically executes the offset. It's simple to monitor these tasks on Google Cloud infrastructure. Your Google ADK agent checks offset statuses using `get_impact` and logs every successful tree planted directly to Cloud Logging for audit compliance.

Dynamic Webhook Orchestration with MCP Server

The `create_webhook` tool establishes real-time data feeds between Greenspark and your Google ADK pipelines. Your Gemini agent configures these webhooks to trigger Cloud Functions whenever an impact event occurs. Connecting this MCP Server to your Google ADK pipeline gives your agent full control over its data loops. The agent uses `list_webhooks` to verify active endpoints, ensuring every tree planted is logged back into your central BigQuery warehouse.

Setup guide

Set up Greenspark 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 Greenspark 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="Greenspark_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Greenspark 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 Greenspark. 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 Greenspark MCP in Google ADK

Initialize the toolset using `McpToolset` with the server HTTP URL and pass it to your `LlmAgent`. Your Gemini agent will immediately gain access to tools like `create_impact` and `estimate_footprint`.

Yes. The agent uses `list_impacts` to fetch historical records and can feed that data directly into BigQuery for long-term sustainability reporting.

The ADK runs within your Google Cloud environment, allowing you to store your Greenspark authentication tokens securely in Secret Manager rather than hardcoding them.

Yes. The agent can fetch project details via `get_project` and join that metadata directly with BigQuery transaction datasets to build internal dashboards.

Only the raw transaction values and category labels required for footprint calculations are sent to the API. Your customer databases, personal identifiers, and financial records remain completely isolated within your Google Cloud project.

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