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How to Use the Infracost MCP in Google ADK

Feed Infracost cloud cost limits directly into your Gemini-powered enterprise agents using the Google ADK.

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Google ADK

Connect Infracost MCP to Google ADK

Create your Vinkius account to connect Infracost 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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Query actual cloud rates via Google ADK

The `query_pricing` tool fetches raw pricing data using GraphQL queries to feed your Gemini models. Your agent parses this data to calculate the exact cost of spinning up new Google Cloud or multi-cloud resources. Because the Google ADK handles long-context reasoning with Gemini's 1M+ token window, you can feed entire pricing catalogs into a single prompt. The agent matches these against BigQuery billing logs to find discrepancies.

Run enterprise price book ingestion in GCP

The `ingest_price_book` tool processes your custom enterprise discount CSVs directly from your Gemini workflows. Your agent requests a secure upload endpoint via `get_price_book_files_url` and monitors the processing status using `get_price_book`. This Google ADK toolset setup allows you to filter which operations are exposed by using the `tool_names` parameter. Once the custom rates are processed, your agent uses `update_organization` to apply these rates across your enterprise profile.

Guardrail management through this MCP Server

The `create_guardrail` tool defines budget thresholds that your Gemini agents must respect before approving any cloud infrastructure. Your agent can modify or remove these rules dynamically using `update_guardrail` and `delete_guardrail`. This integration runs over either Stdio or HTTP transports within your Google Cloud environment. It gives your automated deployment pipelines a hard financial gate, preventing runaway costs before they hit your monthly bill.

Setup guide

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

Initialize `McpToolset` with your Vinkius HTTP endpoint parameter. Pass this toolset instance inside the `tools` list when instantiating your `LlmAgent`.
Yes, the agent calls `update_tagging_policy` to define correct tags. It then reconciles resource tags against your BigQuery assets to fix non-compliant infrastructure.
Yes, all tools are exposed by default. You can restrict access to specific tools like `delete_guardrail` by configuring the `tool_names` filter in your toolset parameters.
Your agent uses `get_price_book_files_url` to get a presigned URL, uploads the file, and triggers `ingest_price_book`. This offloads heavy file processing from your Gemini execution context.
The CSV data containing your custom contract rates is sent over an encrypted HTTPS connection directly to the sandboxed Vinkius execution environment. It is never stored or used to train Gemini models.

Start using the Infracost MCP today

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