Flystack MCP Server for Google ADK 5 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Flystack 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="flystack_agent",
instruction=(
"You help users interact with Flystack "
"using 5 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 Flystack MCP Server
Empower your AI agent to orchestrate your entire cloud infrastructure and deployment auditing workflow with Flystack, the comprehensive source for programmable infrastructure data. By connecting Flystack to your agent, you transform complex DevOps tasks into a natural conversation. Your agent can instantly retrieve active deployments, audit cluster health, and monitor performance metrics without you ever touching a cloud console. Whether you are conducting system audits or managing application scaling, your agent acts as a real-time infrastructure consultant, ensuring your data is always comprehensive and up-to-the-minute.
Google ADK natively supports Flystack as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 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
- Deployment Auditing — Retrieve high-resolution details for all active deployments, including status, region, and creation metadata.
- Cluster Oversight — Audit the health and configuration of your infrastructure clusters to maintain strict organizational control.
- Performance Intelligence — Query real-time metrics including CPU and memory usage to understand the operational scale of your applications instantly.
- Resource Discovery — Retrieve detailed metadata for specific deployment IDs to assist in deep-dive infrastructure classification.
- Operational Monitoring — Check API status to ensure your infrastructure research workflow is always operational.
The Flystack MCP Server exposes 5 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 Flystack to Google ADK via MCP
Follow these steps to integrate the Flystack 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 5 tools from Flystack via MCP
Why Use Google ADK with the Flystack MCP Server
Google ADK provides unique advantages when paired with Flystack 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 Flystack
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 Flystack tools with BigQuery, Vertex AI, and Cloud Functions
Flystack + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Flystack MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Flystack and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Flystack tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Flystack regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Flystack
Flystack MCP Tools for Google ADK (5)
These 5 tools become available when you connect Flystack to Google ADK via MCP:
check_api_status
Check if the Flystack service is operational
get_cluster_metrics
Get real-time performance metrics for a specific cluster
get_deployment_details
Get full details for a specific deployment by ID
list_flystack_clusters
List all infrastructure clusters in your Flystack account
list_flystack_deployments
List all active deployments in your Flystack account
Example Prompts for Flystack in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Flystack immediately.
"List all active deployments using Flystack."
"What are the metrics for cluster ID 'cluster-123'?"
"Show details for deployment 'api-gateway'."
Troubleshooting Flystack MCP Server with Google ADK
Common issues when connecting Flystack to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFlystack + Google ADK FAQ
Common questions about integrating Flystack 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 Flystack 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.
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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 Flystack to Google ADK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.