t3-watch runs on your own machine — the client starts it, so there is no endpoint to ping. 577 installs a week from npm. Last commit 24 Oct 2026.
An agent on call for the things nobody watches. Checks run free; your agent wakes only on a change.
We read the source, 1 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
execFile(
if (url === null || url.protocol !== "https:" || !["hooks.slack.com", "hooks.slack-gov.com"].includes(url.hostname) ||
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add t3-watch -- npx -y @lfg-labs/t3-watch
{
"mcpServers": {
"t3-watch": {
"command": "npx",
"args": [
"-y",
"@lfg-labs/t3-watch"
]
}
}
}
[mcp_servers.t3-watch]
command = "npx"
args = ["-y", "@lfg-labs/t3-watch"]
{
"mcpServers": {
"t3-watch": {
"command": "npx",
"args": [
"-y",
"@lfg-labs/t3-watch"
]
}
}
}
{
"servers": {
"t3-watch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@lfg-labs/t3-watch"
]
}
}
}
Watch any URL for changes: baseline, then check for a diff. Free, no signup/key.
Your agent uses the web as text, not screenshots. Several steps per call, only changes come back.
An AI agent reads your server over the one SSH session you are already watching.
Rove — supervised browser for AI agents. Your agent drives; a human watches, takes over.
Free, local check before an AI agent acts: your rules return ACT, BLOCK or ESCALATE.
Build, check and call a specialized model for one narrow task, from your agent.
Your agent pings once per run; get a public up/late/down status page. Auto-creates checks. One call.
Scan a website for AI search and agent readiness, then get a fix checklist for your agent.
Answers built from our own checks of this server.