AirOps 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 AirOps 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="airops_agent",
instruction=(
"You help users interact with AirOps "
"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 AirOps MCP Server
Connect your AirOps account to your AI agent to unlock professional AI workflow orchestration and agent management. From executing complex multi-step workflows synchronously or asynchronously to interacting with specialized chat agents and managing managed memory stores, your agent handles your AI operations through natural conversation.
Google ADK natively supports AirOps 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
- Workflow Orchestration — Execute and monitor AirOps apps and workflows, passing custom parameters and retrieving structured results
- Agent Interaction — Chat directly with your specialized AirOps agents to perform niche tasks or leverage unique agent instructions
- Memory Management — Search within managed memory stores (vector databases) and add documents to enrich your AI's domain knowledge
- File Orchestration — Upload and manage files to be used as inputs for your AI workflows and data extraction tasks
- Real-time Status — Monitor execution statuses and cancel long-running AI tasks directly from your chat interface
The AirOps 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 AirOps to Google ADK via MCP
Follow these steps to integrate the AirOps 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 AirOps via MCP
Why Use Google ADK with the AirOps MCP Server
Google ADK provides unique advantages when paired with AirOps 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 AirOps
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 AirOps tools with BigQuery, Vertex AI, and Cloud Functions
AirOps + Google ADK Use Cases
Practical scenarios where Google ADK combined with the AirOps MCP Server delivers measurable value.
Enterprise data agents: ADK agents query AirOps and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine AirOps tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query AirOps regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AirOps
AirOps MCP Tools for Google ADK (10)
These 10 tools become available when you connect AirOps to Google ADK via MCP:
add_memory_document
Enrich AI knowledge
cancel_execution
Stop a running task
chat_with_agent
Interact with AI agent
execute_workflow_async
Run workflow asynchronously
execute_workflow_sync
Best for quick tasks. Run workflow synchronously
get_app_details
Get app metadata
get_execution_status
Check execution progress
list_apps
List AI applications
search_memory_store
Search vector database
upload_file
Upload file for AI
Example Prompts for AirOps in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with AirOps immediately.
"List all AI apps in my AirOps workspace."
"Execute the 'Data Extractor' app (UUID: abc-123) with input 'Extract names from this text: John Doe visited London'."
"Search my 'Knowledge Base' memory store for 'API integration guides'."
Troubleshooting AirOps MCP Server with Google ADK
Common issues when connecting AirOps to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAirOps + Google ADK FAQ
Common questions about integrating AirOps 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 AirOps 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 AirOps to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
