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PopNx MCPMCP servers for people who use AI · explained in plain words

EZO Watcher

by ezolabsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.ezolabs/ezo-watcher

Install

Overview

Description from the maker (original English)

Self-hosted monitoring your coding agent installs, proves and fixes. Alert wall, pager, MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: WATCHER_MCP_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: WATCHER_MCP_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ezo-watcher": {
      "command": "npx",
      "args": [
        "-y",
        "ezo-watcher",
        "mcp"
      ],
      "env": {
        "WATCHER_MCP_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ezo-watcher --env WATCHER_MCP_TOKEN=your-value -- npx -y ezo-watcher mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ezo-watcher": {
      "command": "npx",
      "args": [
        "-y",
        "ezo-watcher",
        "mcp"
      ],
      "env": {
        "WATCHER_MCP_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ezo-watcher": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ezo-watcher",
        "mcp"
      ],
      "env": {
        "WATCHER_MCP_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • WATCHER_MCP_TOKEN secret env
    Token for the running Watcher's /mcp endpoint. When unset it is read from the project's .watcher/.env.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ezolabs, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 1396 servers in this category
  • Published to the registry more recently than 95% of the other 1396 servers in this category
  • Basic checks equal to or better than 100% of the other 1396 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is EZO Watcher safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: WATCHER_MCP_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

EZO Watcher

The open-source AI SRE for your project: monitoring your coding agent installs, proves and fixes.

Agentic LiveOps monitoring: self-hosted, MCP-native, no account, and every check proven to go red before it counts.

Live demo · Quickstart · How it works · The fix loop · What agents see · MCP · Hosting · Docs

npm i -g ezo-watcher

watcher init

No global install: npx -y ezo-watcher init

A health route that answers {"ok": true} proves the process is up. It stays green when the database is down, the queue is stuck or last night's cron job never ran.

EZO Watcher is an alert wall and a pager for one project, built to be set up by the agent that already works on the code. The agent reads the repo, picks the telemetry points that can actually go red, adds each one with the file and line it came from, and proves it: watcher doctor --live --prove pushes every source's own reading past its threshold and fails the install unless the check flips. {"ok": true, "live": true} is the only done.

When something breaks later, the same agent reads the incident, ships a fix and closes it with a recheck. The source decides when it is well again, not the agent.

[!TIP]

[Open the live demo](https://ezo-watcher-demo.pages.dev): a full wall with sample data. Acknowledge, silence, park and recheck incidents; your changes stay in your browser.

How it works

flowchart LR

subgraph project["Your project"] code["Code, cron, configs"] app["Running app"] end

agent(["Coding agent"]) cfg[".watcher/config.json checks as code"] server["Watcher server one Node process + SQLite"] wall["Alert wall"] phone["Phone ntfy · push · SMS · email"]

agent -- "watcher scan" --> code agent -- "watcher add --found-at" --> cfg cfg --> server server -- "probes · heartbeats webhooks · host" --> app server --> wall server --> phone server -- "MCP · CLI · hooks" --> agent agent -- "fix, then recheck --wait" --> app

  1. Scan. watcher scan lists what the repo already exposes: readiness routes, cron entries, scheduled workflows, Sentry, Grafana, Netdata, published ports.
  2. Add. The agent turns each signal into a source. Every source carries the assertion that changes when a dependency is down, plus --found-at file:line so an incident points straight back at the code.
  3. Prove. watcher doctor --live --prove mutates each reading (a bad JSON answer, a missed heartbeat, a disk past its limit) and fails unless the check goes red.
  4. Run. One process serves the wall, pages your phone and speaks MCP.
  5. Fix. An incident hands the agent a fix brief. The agent ships the fix and recheck --wait closes the incident only when the source reads healthy.

Quickstart

Give this to your agent
Set up EZO Watcher for this project. Install the CLI with

CI=1 npm_config_yes=true npm i -g ezo-watcher, then run watcher init and watcher skills install --target all, and follow the ezo-watcher skill end to end (read .claude/skills/ezo-watcher/SKILL.md or .agents/skills/ezo-watcher/SKILL.md if the skill is not listed in this session yet).

Follow its ranking: a dependency-gated readiness route first (never a route that just returns {"ok": true}), a heartbeat for every scheduled job, then any Sentry, Grafana or Netdata already in the project. Add one alert channel and prove it with watcher test-alert.

Do not stop until watcher doctor --live --prove --json prints {"ok": true, "live": true}. If this project has no server and no scheduled job, add watcher add host --id host — the machine itself, read locally with nothing installed (load, memory, free space, optionally a pid file) — and prove it. Only if there is no server, no scheduled job and no host to watch either, run watcher doctor --no-runtime-surface --json and tell me instead; a configured source always wins over --no-runtime-surface. Ask me only for the credential a chosen source or channel needs, and tell me what you watched and what you skipped.

Claude Code users: after watcher skills install, run /reload-skills so the new skill is picked up in that session.

Or by hand
# Node 24+.

npm i -g ezo-watcher watcher --version

cd my-project watcher init watcher scan --json watcher add http-probe --id app --url http://127.0.0.1:3000/readyz \ --expect-json '{"db.ok":true}' --found-at src/server.ts:42 \ --read "readiness reads the database" watcher add channel ntfy --id ntfy --server https://ntfy.sh --topic-env WATCHER_NTFY_TOPIC

or, with no credential at all: watcher add channel file --id local

watcher run --detach watcher doctor --live --prove --json # {"ok": true, "live": true} watcher test-alert

No global install: npx -y ezo-watcher runs any verb the same way (npx -y ezo-watcher init). Open http://127.0.0.1:7717 for the wall. watcher init writes .watcher/config.json (commit it), .watcher/.env and .watcher/data/ (gitignored), and picks a free port from 7717.

What it sets up

The project hasEZO Watcher adds
A server with a readiness routeAn http-probe asserting the JSON field that changes when a dependency is down, not the status code alone
A scheduled job, cron, timer, workflow or worker loopA heartbeat per job: a missed run is an incident, not silence
A database, cache or published portA tcp-probe (with TLS expiry when the socket is TLS)
Sentry, Grafana, NetdataTheir own sources: read what already exists instead of duplicating it
An inbound sender (Stripe, GitHub, a collector)A webhook source with a staleness window, so a sender that stops is a page
A domaindomain-expiry over RDAP, beside the certificate expiry http-probe already reads
A machine with nothing installed on itA host source: load per core, memory available, free space per mount and optionally one pid file, read locally
A phone that must ringOne channel: ntfy, web push, SMS, email or a webhook, proven with watcher test-alert. No credential? The file channel records every notification as JSONL and needs none

The fix loop

Once the Watcher is running, the prompt is one line:

Check the Watcher for open incidents and fix them; verify each fix with a recheck.
sequenceDiagram

autonumber participant S as Source participant W as Watcher participant P as Phone participant A as Agent S->>W: readiness answers {"db": {"ok": false}} W->>P: page: Checkout api is down A->>W: watcher status --brief (session start) A->>W: get_fix_context W-->>A: failed assertion, last good and bad reading, found-at server.mjs:35 A->>A: fix the code, redeploy A->>W: verify_fix / recheck --wait W->>S: re-run the check now S-->>W: {"db": {"ok": true}} W-->>A: resolved, confirmed by the source

The agent drives watcher status --brief for one line at session start, then get_fix_context (or watcher incident --fix-context) for the incident's own brief: the source and target config, the assertion that failed, the last good and last bad observation, and the command that re-runs the check. After the fix and a redeploy, verify_fix (or watcher recheck --wait) closes the incident with the attribution only when the source itself says it is well again. The full loop is watcher skills fix.

Brief the agent at every session start

watcher hooks install --target claude     # SessionStart: watcher status --brief

It writes the SessionStart hook into the project's .claude/settings.json, so a session that opens finds the wall's state in one line without asking. --target codex writes the same instruction into AGENTS.md instead (watcher hooks uninstall takes it back out).

Page when the agent itself stops working

Add one heartbeat (its ping token is generated into .watcher/.env for you) and a Stop hook that pings it after every turn:

watcher add heartbeat --id agent-session --every 30m --grace 15m \

--token-env WATCHER_AGENT_SESSION_TOKEN

{

"hooks": { "Stop": [ { "hooks": [ { "type": "command", "command": "sh -c 'set -a; . .watcher/.env 2>/dev/null; curl -fsS -X POST -H \"Authorization: Bearer $WATCHER_AGENT_SESSION_TOKEN\" http://127.0.0.1:7717/ingest/heartbeat/agent-session >/dev/null 2>&1 || true'" } ] } ] } }

Any turn inside the grace keeps the heartbeat green; when the agent stops working for longer than that, HeartbeatDown pages. The || true keeps a stopped Watcher from blocking the agent's turn. (Claude Code hooks reference, read 2026-11-04.)

What agents see

An agent dials the Watcher through MCP (/mcp) or the CLI and reads plain text. The demo shows it live: acknowledge or park an incident and every answer below changes. Every incident sheet has the same view under What your agent sees.

At the start of every session, watcher hooks install runs watcher status --brief: one line per open incident, nothing on a quiet wall.

$ watcher status --brief

warning Billing jobs HeartbeatDown 50m Billing jobs|HeartbeatDown page Checkout API ProbeDown 21m Checkout API|ProbeDown warning Worker hosts HostDiskFree 2h Worker hosts|HostDiskFree run watcher incident --fix-context or the MCP tool get_fix_context

The first MCP call, watch_state, is the wall in one answer (excerpt):

{

"text": "3 firing; 2 unattended, 1 acknowledged, 0 silen

Only the beginning is shown; read the rest in the repo

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