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 Claude Code?
Claude Code registers Gatus (Health Dashboard) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 4 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Gatus (Health Dashboard) data drives decisions without human intervention.
- —
Single-command setup:
claude mcp addregisters the server instantly. no config files to edit or applications to restart - —
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
- —
Claude Code runs headlessly, enabling unattended batch processing using Gatus (Health Dashboard) tools in cron jobs or deployment scripts
- —
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Gatus (Health Dashboard) in Claude Code
Gatus (Health Dashboard) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gatus (Health Dashboard) to Claude Code 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 Claude Code
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 Claude Code 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 Claude Code
Every tool call from Claude Code 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 do I add an MCP server to Claude Code?
Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.
Can Claude Code run MCP tools in headless mode?
Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
How do I list all connected MCP servers?
Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.
Command not found: claude
Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
Connection timeout
Check your internet connection and verify the Edge URL is reachable
Explore More MCP Servers
View all →
Tyk
12 toolsManage your Tyk API Gateway and Dashboard — create keys, manage security policies, and list API definitions via natural language.

Argyle
7 toolsVerify employment and income with Argyle — track users, employments, and payouts via AI.

OpenFGA (Fine-Grained Auth)
16 toolsManage fine-grained authorization with OpenFGA — create stores, define authorization models, and manage relationship tuples directly from your AI agent.

Loops
10 toolsEmail marketing and transactional email platform with powerful automation, audience segmentation, and analytics.
