Compatible with every major AI agent and IDE
What is the Gatus (Health Dashboard) MCP Server?
Connect your Gatus health dashboard to any AI agent to monitor your services and infrastructure through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Gatus instance URL
- Start monitoring your system health from Claude, Cursor, or any MCP-compatible client.
No more manual dashboard checking. Your AI acts as a 24/7 SRE assistant, providing instant insights into your service availability.
Who is this for?
- DevOps Engineers — quickly audit service health and retrieve raw metrics without leaving the terminal or IDE.
- SRE Teams — investigate performance regressions and endpoint history through natural language queries.
- Product Owners — get high-level status reports on system availability during incidents.
Built-in capabilities (4)
Get health status and recent results for a specific endpoint
Get performance statistics for a specific endpoint
Get Prometheus-compatible metrics from Gatus
Get all monitored endpoints and their current status
Why AutoGen?
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Gatus (Health Dashboard) tools. Connect 4 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Gatus (Health Dashboard) tools to solve complex tasks
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Role-based architecture lets you assign Gatus (Health Dashboard) tool access to specific agents. a data analyst queries while a reviewer validates
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Human-in-the-loop support: agents can pause for human approval before executing sensitive Gatus (Health Dashboard) tool calls
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Code execution sandbox: AutoGen agents can write and run code that processes Gatus (Health Dashboard) tool responses in an isolated environment
Gatus (Health Dashboard) in AutoGen
Gatus (Health Dashboard) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gatus (Health Dashboard) to AutoGen through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Gatus (Health Dashboard) in AutoGen
The Gatus (Health Dashboard) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in AutoGen only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Gatus (Health Dashboard) for AutoGen
Every tool call from AutoGen to the Gatus (Health Dashboard) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see the status of all my services at once?
Yes! Use the list_endpoints tool to retrieve a complete list of all configured endpoints and their current health status across your Gatus instance.
How do I check the performance history of a specific service?
You can use get_endpoint_stats with the endpoint's slugified key to see detailed performance statistics, or get_endpoint_health for recent health check results.
Does this server provide raw metrics for analysis?
Yes, the get_metrics tool retrieves raw Prometheus-compatible metrics exported by Gatus, allowing your AI to perform deep technical analysis.
How does AutoGen connect to MCP servers?
Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Gatus (Health Dashboard) tools during their conversation turns.
Can different agents have different MCP tool access?
Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
Does AutoGen support human approval for tool calls?
Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.
McpWorkbench not found
Install: pip install "autogen-ext[mcp]"
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