Documentation

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eyes open.

Guides and reference for uptime monitoring, API checks, AI browser tests, alerts, and status pages. In the cloud, from the CLI, or self-hosted on your own infrastructure.

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Choose your path

Three ways to get from zero to monitoring.
01

Use the Cloud

The fastest start. Sign up and watch your first journey in minutes.

  1. Create an account
  2. Add your first monitor
  3. Connect alert channels
  4. Invite your team
02

Self-host

Run the open-source engine on your own infrastructure. Apache-2.0.

  1. docker compose up
  2. Pick monitor types
  3. Go multi-region
  4. Back up & restore
03

Automate

Manage everything as code from your terminal, CI, or an AI agent.

  1. Install the CLI
  2. Define obs.json
  3. Wire into CI
  4. Run from an AI agent
NewMCP server

Query ObserveOne from your AI agent

Connect Claude, Claude Code, Cursor, or ChatGPT to a remote MCP endpoint to read your monitors, uptime, and incidents, and safely create, update, pause, and run them. No dashboard needed, and no delete tools.

observeone_monitors_listobserveone_url_monitor_createobserveone_api_check_runobserveone_incident_resolveobserveone_status_page_updateobserveone_suite_run
Read the MCP guide →
.mcp.json
{
  "mcpServers": {
    "observeone": {
      "url": "https://mcp.observeone.com/mcp"
    }
  }
}

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26 pages live · 14 planned

Get started

Guides

Dashboard

New
  • Dashboard overviewSoon
  • AutopilotSoon
  • Creating monitors in the UISoon
  • Teams, roles & billingSoon
  • Notification channelsSoon

Self-host

CLI & automation

Reference