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AirOps MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

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="airops_agent",
    instruction=(
        "You help users interact with AirOps "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
AirOps
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DLPData protection
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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 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.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

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.

01

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

02

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

03

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

04

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.

01

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

02

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

03

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

04

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:

01

add_memory_document

Enrich AI knowledge

02

cancel_execution

Stop a running task

03

chat_with_agent

Interact with AI agent

04

execute_workflow_async

Run workflow asynchronously

05

execute_workflow_sync

Best for quick tasks. Run workflow synchronously

06

get_app_details

Get app metadata

07

get_execution_status

Check execution progress

08

list_apps

List AI applications

09

search_memory_store

Search vector database

10

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.

01

"List all AI apps in my AirOps workspace."

02

"Execute the 'Data Extractor' app (UUID: abc-123) with input 'Extract names from this text: John Doe visited London'."

03

"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.

01

McpToolset not found

Update: pip install --upgrade google-adk

AirOps + Google ADK FAQ

Common questions about integrating AirOps MCP Server with Google ADK.

01

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.
02

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.
03

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.

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.