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Vinkius runs on Google ADK

How to Use the SkootEco MCP in Google ADK

Enterprise ESG Reporting with Google ADK. Connect SkootEco to BigQuery data streams.

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MCP Servers — Included with Plan
Vinkius runs on Google ADK

Connect SkootEco MCP to Google ADK

Create your Vinkius account to connect SkootEco to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Calculate and Categorize Emissions

Connect your historical operational data from BigQuery directly to the MCP Server's `add_emission` tool. This ensures every emission log is captured accurately, maintaining a clear record of all sources. You can then refine that data by calling `get_emissions_by_scope`, which separates your emissions into defined scopes. The agent also uses `list_categories` to provide an itemized list for review.

Access Full Impact Metrics

Need a high-level view? Use the `get_impact_profile` tool. It aggregates various metrics, giving you a single number that reflects your overall environmental footprint against defined goals. If you need specific data points—like how many offsets are available (`list_offsets`) or which projects exist (`list_projects`)—the agent retrieves them instantly using `get_metrics`.

Manage Offsets and Climate Projects

The process is simple: check what's out there with `list_projects`, review the details of a specific option using `get_project`, and then execute the purchase via `purchase_offset`. The agent handles all these sequential steps. For planting initiatives, you can run `plant_tree` or simply fetch your current count using `get_tree_count`. It makes carbon neutrality actionable.

Setup guide

Set up SkootEco 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. 1

    Install Google ADK

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

  2. 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. 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. 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 SkootEco 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="SkootEco_agent",
    model="gemini-2.0-flash",
    instruction="You have access to SkootEco 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 SkootEco. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about SkootEco MCP in Google ADK

The MCP Server acts as the bridge. Your agent pulls data from BigQuery and uses tools like `add_emission` to log it into SkootEco, keeping your records consistent.
Yes. You can build a routine that calls `get_esg_report`. Since the agent is natively integrated with the Google Cloud ecosystem, this process fits right into your existing data pipelines.
It handles comprehensive carbon emission logs. These include Scope 1, Scope 2, and Scope 3 metrics, ensuring you track all sources of pollution.
You'll call `check_skooteco_status` first. It verifies connectivity to the MCP Server, making sure your agent can actually send those reports.
The server tracks carbon emission logs and financial records related to offset purchasing.

Start using the SkootEco MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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