Gatus (Health Dashboard) MCP Server for Google ADKGive Google ADK instant access to 4 tools to Get Endpoint Health, Get Endpoint Stats, Get Metrics, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Gatus (Health Dashboard) 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 for Google ADK
The Gatus (Health Dashboard) MCP Server for Google ADK is a standout in the Cloud Infrastructure category — giving your AI agent 4 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="gatus_health_dashboard_agent",
instruction=(
"You help users interact with Gatus (Health Dashboard) "
"using 4 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 Gatus (Health Dashboard) MCP Server
Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.
Google ADK natively supports Gatus (Health Dashboard) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 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
- Global Visibility — List all monitored endpoints and their current health status across your entire infrastructure.
- Deep Health Inspection — Drill down into specific services to see recent results and status history using slugified keys.
- Performance Statistics — Retrieve performance metrics for individual endpoints to identify latency or reliability issues.
- Metrics Export — Access raw Prometheus-compatible metrics for deep technical analysis and custom reporting.
The Gatus (Health Dashboard) MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 4 Gatus (Health Dashboard) tools available for Google ADK
When Google ADK connects to Gatus (Health Dashboard) through Vinkius, your AI agent gets direct access to every tool listed below — spanning service-health, uptime-monitoring, infrastructure-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get endpoint health on Gatus (Health Dashboard)
Get health status and recent results for a specific endpoint
Get endpoint stats on Gatus (Health Dashboard)
Get performance statistics for a specific endpoint
Get metrics on Gatus (Health Dashboard)
Get Prometheus-compatible metrics from Gatus
List endpoints on Gatus (Health Dashboard)
Get all monitored endpoints and their current status
Connect Gatus (Health Dashboard) to Google ADK via MCP
Follow these steps to wire Gatus (Health Dashboard) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Gatus (Health Dashboard) MCP Server
Google ADK provides unique advantages when paired with Gatus (Health Dashboard) 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 Gatus (Health Dashboard)
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 Gatus (Health Dashboard) tools with BigQuery, Vertex AI, and Cloud Functions
Gatus (Health Dashboard) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Gatus (Health Dashboard) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Gatus (Health Dashboard) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Gatus (Health Dashboard) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Gatus (Health Dashboard) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Gatus (Health Dashboard)
Example Prompts for Gatus (Health Dashboard) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Gatus (Health Dashboard) immediately.
"List all monitored endpoints and their current status."
"What is the health status of the 'core-api' endpoint?"
"Show me the performance statistics for 'database-service'."
Troubleshooting Gatus (Health Dashboard) MCP Server with Google ADK
Common issues when connecting Gatus (Health Dashboard) to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkGatus (Health Dashboard) + Google ADK FAQ
Common questions about integrating Gatus (Health Dashboard) 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?
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