How to Use the Flystack MCP in Google ADK

Q: Can I restrict the Flystack tools exposed to my Google ADK agent?

Yes. Use the toolnames filter when initializing your McpToolset. You can restrict the agent to observational tools like getclustermetrics while hiding others.

Feed real-time cluster metrics and deployment states directly into your Google ADK Gemini agents for automated analysis.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Flystack MCP to Google ADK

Create your Vinkius account to connect Flystack to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Flystack with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Long-context cluster analysis

Gemini models excel at processing massive datasets, starting with `list_flystack_clusters` to gather your entire global footprint. Pass the output to your agent to find architectural inconsistencies. Combined with `get_cluster_metrics`, your agent can ingest hours of performance history. The model analyzes trends across hundreds of nodes without hitting token limit bottlenecks.

Targeted workload diagnostics with Google ADK

When a service acts up, your agent runs `list_flystack_deployments` to locate the target. It then pulls the configuration using `get_deployment_details` to verify environment variables and replica states. This MCP Server configuration lets you combine cloud telemetry with enterprise data in BigQuery. Your agent can cross-reference infrastructure performance against business metrics to pinpoint the real impact of an outage.

Automated API health checks

Don't let your agents waste API calls on unresponsive endpoints; trigger `check_api_status` to verify the connection is live before running heavy analytical queries. It is a simple check that saves token costs and prevents execution loops from hanging. It keeps your enterprise integrations fast and predictable.

Setup guide

Set up Flystack MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Flystack tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Flystack_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Flystack tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flystack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Flystack now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Flystack MCP in Google ADK

Use the McpToolset class from the google-adk package. Initialize it with your Vinkius HTTP URL, then pass it directly into the tools list of your LlmAgent instance.

Yes. Use the tool_names filter when initializing your McpToolset. You can restrict the agent to observational tools like `get_cluster_metrics` while hiding others.

Yes. This server supports both Stdio and HTTP transports. For hosted environments on Google Cloud, the HTTP transport via Vinkius is usually the easiest way to connect.

The model requests the specific deployment ID, reads the configuration payload returned by the tool, and uses its reasoning capabilities to find mismatched container tags or resource limits.

The integration only reads cluster metadata, deployment details, and performance metrics. It has zero write access to your infrastructure. All traffic is encrypted in transit, and Vinkius executes the connector in an isolated, ephemeral sandbox.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript