Let your AI agent tell you when it matters.

# Plain text
curl -d 'Deploy done 🚀' https://api.nextmsg.app/p/$NEXTMSG_KEY

# JSON with a channel and formatting
curl -H 'Content-Type: application/json' \
  -d '{"message":"Build **failed** on `main`","channel":"ci"}' \
  https://api.nextmsg.app/p/$NEXTMSG_KEY

Use single quotes: inside double quotes your shell treats ! and $ specially.

- name: Notify my phone
  if: failure()
  run: |
    curl -s -d "Build failed on ${{ github.ref_name }}" \
      "https://api.nextmsg.app/p/${{ secrets.NEXTMSG_KEY }}?channel=ci"

Store your send key as the repository secret NEXTMSG_KEY.

{
  "hooks": {
    "Stop": [{ "hooks": [{ "type": "command",
      "command": "curl -s -d 'Claude Code finished a task' \"https://api.nextmsg.app/p/$NEXTMSG_KEY?channel=claude-code\"" }] }],
    "Notification": [{ "hooks": [{ "type": "command",
      "command": "curl -s -d 'Claude Code needs your input' \"https://api.nextmsg.app/p/$NEXTMSG_KEY?channel=claude-code\"" }] }]
  }
}

Add to ~/.claude/settings.json. Pings you when a task finishes or is waiting on you. An MCP server for any agent is coming soon.

# crontab -e
0 3 * * * /usr/local/bin/backup.sh && curl -s -d 'Nightly backup finished' "https://api.nextmsg.app/p/snd_live_YOUR_KEY?channel=backups"

await fetch(`https://api.nextmsg.app/p/${env.NEXTMSG_KEY}`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ message: "Price dropped below $120", channel: "prices" }),
});

// Node 18+ has fetch built in, no package needed
const res = await fetch(`https://api.nextmsg.app/p/${process.env.NEXTMSG_KEY}`, {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ message: "Import finished: 1,284 rows", channel: "jobs" }),
});
if (!res.ok) console.error(await res.text());

Works in scripts, servers and serverless functions. Run with NEXTMSG_KEY=snd_live_… node notify.mjs.

import os, requests

requests.post(
    f"https://api.nextmsg.app/p/{os.environ['NEXTMSG_KEY']}",
    json={"message": "Training run finished: loss 0.031", "channel": "ml"},
)