Documentation
  1. 01Getting started
  2. 02Next.js and Vercel
  3. 03Servers and scripts
  4. 04Schedules, grace and timeouts
  5. 05What it catches
  6. 06Alerts
  7. 07Stores
  8. 08Dashboard and API
  9. 09MCP server
  10. 10Agent skill
  11. 11AI triage
  12. 12API reference
  13. 13Limits and design notes

MCP server

MCP server

@cronwatch/mcp is a Model Context Protocol server over stdio. It talks to the JSON API your app mounts with cw.routes(), so it needs a URL and the token, and nothing else.

Claude Code

claude mcp add cronwatch \
  -e CRONWATCH_URL=https://app.example.com/cronwatch \
  -e CRONWATCH_TOKEN=your-token \
  -- npx -y @cronwatch/mcp

Other clients

Any client that launches stdio servers:

{
  "mcpServers": {
    "cronwatch": {
      "command": "npx",
      "args": ["-y", "@cronwatch/mcp"],
      "env": { "CRONWATCH_URL": "https://app.example.com/cronwatch", "CRONWATCH_TOKEN": "your-token" }
    }
  }
}

--url and --token work as flags too. For a local app leave the token out and the routes open in development.

Tools

Tool Does
list_jobs every job with health, schedule, last run and next due. The place to start.
get_job one job in detail: definition, open conditions, and recent runs with errors, output tails and metrics
run_check look for missed and stuck runs now and send due alerts
silence_job stop alerts for a duration, for example during a fix
unsilence_job resume them
forget_job remove a job that no longer exists in the code
get_setup_guide the code to add CronWatch to a job, so the agent writes it correctly

The tools return prose an agent can act on, not raw JSON. A typical exchange: "why did invoice-run fail last night" becomes get_job, a read of the error and the earlier runs, and a suggested fix in your code.

Security

The token gives the agent everything the dashboard can do. Give it a dedicated app deployment or accept that an agent can silence and forget jobs. Run history includes whatever your jobs logged; if that is sensitive, log less.

The agent skill

A Claude Code skill in the repository teaches the workflow: where to declare jobs, how to wrap them, how to investigate a failure with these tools. See Agent skill.