Infracost MCP Server for Google ADKGive Google ADK instant access to 13 tools to Create Guardrail, Create Price Book, Delete Guardrail, and more

Name: Infracost
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Infracost as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Infracost MCP Server for Google ADK is a standout in the Loved By Devs category — giving your AI agent 13 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="infracost_agent",
    instruction=(
        "You help users interact with Infracost "
        "using 13 available tools."
    ),
    tools=[mcp_tools],
)

$Infracost$

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Infracost MCP Server

Connect Infracost to your AI agent to bring financial visibility and governance to your Infrastructure as Code (IaC) workflows. Prevent cloud cost surprises before they happen.

Google ADK natively supports Infracost as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 13 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Cost Guardrails — List, create, and manage guardrails that trigger alerts or block Pull Requests when cost increases exceed your defined thresholds.
Tagging Governance — Enforce organizational standards by updating tagging policies, ensuring all cloud resources are correctly attributed to departments or projects.
Custom Pricing — Manage enterprise-specific price books for AWS and Azure to ensure cost estimates reflect your actual negotiated discounts.
Business Context — Upload custom properties from external systems like ServiceNow or Backstage to map cloud costs to your internal organizational hierarchy.
Pricing Queries — Programmatically query cloud pricing data to compare costs across different resource types and regions.

The Infracost MCP Server exposes 13 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 Infracost tools available for Google ADK

When Google ADK connects to Infracost through Vinkius, your AI agent gets direct access to every tool listed below — spanning terraform, cloud-cost, finops, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create guardrail on Infracost

Create a new guardrail

create

Create price book on Infracost

Create a custom price book for an enterprise

delete

Delete guardrail on Infracost

Delete a guardrail

get

Get guardrail on Infracost

Get a specific guardrail by ID

get

Get price book on Infracost

Poll this to wait for SUCCESS status. Get the status and details of a price book

get

Get price book files url on Infracost

Use the returned URL to PUT the CSV file. Get a presigned URL to upload a price book CSV

ingest

Ingest price book on Infracost

Call this after uploading the CSV to the presigned URL. Trigger ingestion of an uploaded price book CSV

list

List guardrails on Infracost

List all guardrails for an organization

query

Query pricing on Infracost

Provide a valid GraphQL query string. Query the Cloud Pricing API using GraphQL

update

Update guardrail on Infracost

Update an existing guardrail

update

Update organization on Infracost

Pass the customPriceBookId to activate it. Update organization settings, such as activating a custom price book

update

Update tagging policy on Infracost

Update allowed tag values for a tagging policy

upload

Upload custom properties on Infracost

g., from ServiceNow or Backstage) for cost attribution. Provide raw CSV data. Upload custom business properties via CSV

Connect Infracost to Google ADK via MCP

Follow these steps to wire Infracost into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 13 tools from Infracost via MCP

Why Use Google ADK with the Infracost MCP Server

Google ADK provides unique advantages when paired with Infracost through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Infracost

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Infracost tools with BigQuery, Vertex AI, and Cloud Functions

Infracost + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Infracost MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Infracost and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Infracost tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Infracost regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Infracost

Example Prompts for Infracost in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Infracost immediately.

"List all cost guardrails for the organization 'acme-corp'."

"Create a new guardrail for 'acme-corp' that triggers when cost increase exceeds $200 and blocks the PR."

"Update the tagging policy for 'acme-corp' to make the 'Environment' tag mandatory."

Troubleshooting Infracost MCP Server with Google ADK

Common issues when connecting Infracost to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Infracost + Google ADK FAQ

Common questions about integrating Infracost MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.