DoiT MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add DoiT as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="doit_agent",
instruction=(
"You help users interact with DoiT "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 DoiT MCP Server
Integrate DoiT, the leading cloud cost management and optimization platform, directly into your AI workflow. Manage your multi-cloud assets across AWS, Google Cloud, and Microsoft Azure, monitor real-time cost anomalies and budgets, and track your cloud spending using natural language.
Google ADK natively supports DoiT as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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
- Cloud Oversight — List and retrieve detailed configuration and cost data for all your cloud assets and connected accounts.
- Anomaly Intelligence — Monitor real-time cost anomalies and unexpected spending spikes across your cloud infrastructure.
- Budget Monitoring — Track cloud spending budgets, threshold limits, and current consumption percentages.
- Cost Auditing — Retrieve high-level summaries of total cloud expenditure and identify high-severity cost spikes instantly.
The DoiT MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DoiT to Google ADK via MCP
Follow these steps to integrate the DoiT MCP Server with Google ADK.
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 10 tools from DoiT via MCP
Why Use Google ADK with the DoiT MCP Server
Google ADK provides unique advantages when paired with DoiT 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 DoiT
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 DoiT tools with BigQuery, Vertex AI, and Cloud Functions
DoiT + Google ADK Use Cases
Practical scenarios where Google ADK combined with the DoiT MCP Server delivers measurable value.
Enterprise data agents: ADK agents query DoiT and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine DoiT tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query DoiT regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including DoiT
DoiT MCP Tools for Google ADK (10)
These 10 tools become available when you connect DoiT to Google ADK via MCP:
get_asset_details
Get detailed configuration and cost data for a specific cloud asset
get_billing_cost_summary
Retrieve a high-level summary of total cloud spending across all platforms
get_doit_account_metadata
Retrieve metadata for the current DoiT organization
list_cloud_assets
List all cloud assets (AWS, GCP, Azure) managed by DoiT
list_connected_cloud_accounts
List all connected AWS, GCP, or Azure accounts
list_cost_anomalies
List all detected cloud cost anomalies and unexpected spending spikes
list_cost_budgets
List all cloud spending budgets configured in DoiT
list_critical_cost_spikes
Identify high-severity cost anomalies that require immediate attention
list_exceeded_cost_budgets
Identify budgets that have exceeded their configured spending limits
search_cloud_assets
Search for cloud assets using a name keyword
Example Prompts for DoiT in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with DoiT immediately.
"Show me our total cloud cost summary."
"Are there any critical cost anomalies right now?"
"List all budgets that have exceeded 100% consumption."
Troubleshooting DoiT MCP Server with Google ADK
Common issues when connecting DoiT to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkDoiT + Google ADK FAQ
Common questions about integrating DoiT MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect DoiT with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DoiT to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
