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Waitbus

by astrogildaversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.astrogilda/waitbus

Install

Overview

Description from the maker (original English)

Workstation-local event bus: agents wait on or emit CI/pytest/Docker/filesystem events, no polling.

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

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).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx 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": {
    "waitbus": {
      "command": "uvx",
      "args": [
        "waitbus"
      ]
    }
  }
}

Run this in your terminal

claude mcp add waitbus -- uvx waitbus

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "waitbus": {
      "command": "uvx",
      "args": [
        "waitbus"
      ]
    }
  }
}

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": {
    "waitbus": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "waitbus"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account astrogilda, 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 1389 servers in this category
  • Published to the registry more recently than 28% of the other 1389 servers in this category
  • Basic checks equal to or better than 100% of the other 1389 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 Waitbus 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.2.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.

waitbus: the workstation-local, cross-harness status bus. D-Bus for agents, with a replay log and a wait primitive

One `wait` verb that blocks on, and queries across, every local source at once. When any agent, CI job, test, or container on your machine finishes or fails, every other tool on the box hears it: your Claude Code, your Cursor, your scripts, your CI. Clients that support server notifications get a push; the rest get one blocking `waitbus wait`. No waitbus cloud, no account, no telemetry; all processing stays on your machine.

Below: a Pydantic AI agent and a LangGraph agent, two *different* frameworks running as two separate OS processes, both wait on one local waitbus bus. One fails; the peer on the *other* framework, plus a live waitbus top view, react to the single failure broadcast.

Real frameworks and real waitbus subscribe/emit; the agents' LLMs are deterministic fakes and the failure is an injected event, so the clip runs fully offline. Reproduce the claim (not just the recording): run uvx waitbus demo for the gentler single-agent walk-through (no clone, no install), or, for the exact two-framework proof shown above, clone the repo and run uv run --group agent-recipes python -m examples.hero_swarm (Linux-verified; prints PROVEN: two DIFFERENT frameworks woke on ONE peer's failure ). Higher-quality MP4 at hero.mp4 . Maintainers re-render this recording from docs/demo/.waitbus-demo/ with make hero (dev-only; needs vhs, ttyd, tmux, and JetBrains Mono).

Try it now, no install: uvx waitbus demo boots a real local bus and returns the instant an event lands, fully offline (~8 s).


waitbus is the workstation-local, cross-harness status bus that lets the tools on one machine hear each other. It does three things: ingest events, broadcast them, and replay them.

Ingest: a blocking wait/emit primitive lets any agent or script (across Cursor, Claude Code, and any tool on the box) wait on, or emit, events from five built-in sources (GitHub Actions CI, pytest sessions, Docker container lifecycle, filesystem changes, and Prometheus Alertmanager) plus any plugin source registered under the waitbus.sources.v1 entry-point group.

Broadcast: events land in SQLite the moment they arrive, and a broadcast daemon fans each row to every connected consumer within about a millisecond on the local socket (measured; see benchmarks/BENCHMARKING.md). Your agent blocks on waitbus wait (including across sources at once with --all-of/--first-of) with zero agent-side polling and idle CPU until the thing it cares about happens, and waitbus on -- runs a command the moment it does (in the CLI process, not the daemon, via execve with no shell; event values arrive as namespaced WAITBUS_* environment variables and a $WAITBUS_EVENT_FILE, never as argv, so event content cannot inject flags or overwrite PATH). Because every agent on the box shares that one bus, it doubles as a same-machine coordination backplane: one agent emits, the others wake.

Replay: a durable replay log (since=) means a consumer that was offline catches up instead of missing the moment, and waitbus events analyze queries what the bus stored. It is the local opt-in event-broadcast model the OS already uses (D-Bus signals, inotify, journald), with the replay log and a wait predicate added on top. (GitHub Actions was the first source wired, which is why the examples lead with CI, but waitbus is not CI-only.) The dependency stack is lean: typer, msgspec, platformdirs, pydantic-settings, prometheus_client, stamina, and the mcp SDK, with no heavy TUI or crypto dependency. The daemon idles at roughly 40 MB RSS measured (p50 on the benchmark host, most of it the CPython interpreter baseline) over a SQLite event store and an AF_UNIX SOCK_STREAM broadcast bus with length-prefix framing. Runs on Linux (systemd-user) and macOS (launchd).


Who this is for

This is for you if…

  • You run a heterogeneous agent fleet (Claude Code *and* Cursor *and* background scripts) on one workstation and want them to hear each other's finishes and failures.
  • You wait across sources. "Block until the tests pass *and* the build is done *and* CI is green," in one predicate, in a script (waitbus wait --all-of ...). Nothing else expresses this.
  • You want zero-LLM-token, zero-poll waiting as a daily habit across many local things, and you'll run a daemon to get it.
  • You care that the daemon on your box is trustworthy: reproducible builds, offline, no cloud, no account, no telemetry.

This is NOT for you if…

  • You wait on one GitHub repo's CI and nothing else. Use gh run watch. It's zero-setup, and for that single job we don't beat it by enough to justify a daemon.
  • You only need to react to a file change. Use inotifywait/entr. They're far faster on raw filesystem latency (our own benchmark says so) and need no daemon.
  • You want cloud, cross-machine, or team coordination. Out of scope for the local core by design.
  • You want addressed agent-to-agent messaging as the product (threads, inboxes, routing). The headline here is broadcast source-ingestion; the request()/respond() facet exists, but a dedicated message queue serves that center of gravity better.

Try it in 60 seconds

uvx waitbus demo          # one command, no install needed

waitbus demo allocates a temporary state directory and boots the broadcast daemon, then runs two phases. Phase 1, the point: an agent blocks on waitbus wait (the same egress engine the real command uses) with zero polling and idle CPU; the moment a github workflow_run event lands, the wait returns and the demo prints the real measured event-to-unblock latency. Phase 2, breadth: the same primitive delivers every source. pytest_session, docker_container, and fs_change events fan out to a live subscriber. Nothing on your machine outside the temporary directory is touched.

A recorded MP4 + GIF walkthrough lives at docs/demo/.waitbus-demo/demo.mp4 and demo.gif (the tape script is demo.tape). Re-rendering is reproducible via make demo from that directory (requires VHS ≥ 0.10.0, ttyd, and ffmpeg); the Makefile enforces the VHS version floor and refuses to render against an older binary that could silently change tape semantics.

The four events the demo emits are synthesized in-process. There

is no real HTTP listener, no real pytest run, no real Docker

daemon, no real watchdog. A banner before each emit makes this

explicit, mirroring the waitbus stats output. To wire

waitbus against real GitHub webhook deliveries, follow the Quick

start below.


Quick start

Prove the primitive in ~10 seconds -- one foreground daemon, one event, no service install. Install the CLI and bootstrap state:

uv tool install waitbus          # or: pipx install waitbus

waitbus init # one-time setup: state dirs, SQLite schema, scaffolds

Then, in two terminals, watch a blocking wait return the instant an emit lands on the bus:

# Terminal A -- run the broadcast daemon in the foreground (Ctrl-C to stop):

waitbus broadcast serve

# Terminal B -- block on the next agent event, then emit one from the same shell:

waitbus wait --source agent --match 'fields.event_type="agent_message"' --timeout 30s & sleep 1 # let the backgrounded wait attach to the bus before we emit (a

long-lived subscriber would already be attached; this one-liner

just compresses "wait, then something happens" into one shell)

waitbus emit \ --delivery-id demo-1 --source agent --event-type agent_message \ --owner local --repo local --received-at "$(date +%s)" \ --payload-json '{"hello":"world"}' --ingest-method manual wait # the backgrounded waitbus wait prints "matched on source=agent" and exits 0

That round trip -- block, emit, unblock, with zero polling -- is the whole primitive. Everything below wires it to real sources and, optionally, runs the daemons permanently under your service manager.

Run the fleet permanently (optional)
waitbus install-credentials github-webhook-secret   # optional: only for GitHub-CI waiting (enables the webhook listener)

waitbus install-systemd # Linux: copy + enable the 8 systemd-user units waitbus install-launchd # macOS: copy + bootstrap the 4 LaunchAgent plists waitbus read-events watch # live tail of incoming events

install-systemd is Linux-only; install-launchd is macOS-only. Each command refuses to run on the other platform and points at the right one.

Once events are flowing, block any script or agent on the next matching event with waitbus wait -- any source, any field, exit code carries the verdict. The wait side is always zero-setup; the *event* it waits for still has to be produced by something (an opt-in emitter or a source watcher), so each example below notes what must be emitting for it to return:

# pytest: wait for any session to finish.

wait is zero-setup; a pytest_session event needs the opt-in emitter --

run your suite with: pytest -p waitbus.sources.pytest_emit --waitbus-emit

waitbus wait --source pytest --match 'fields.event_type="pytest_session"' --timeout 10m

Docker: wait for a container to exit.

wait is zero-setup; a docker_container event needs the docker watcher running --

start it with: waitbus source docker (see waitbus source docker --help)

waitbus wait --source docker --match 'fields.event_type="docker_container"' --timeout 30s

Filesystem: wait for a watched path to change.

wait is zero-setup; an fs_change event needs the fs watcher running --

start it with: waitbus source fs (see waitbus source fs --help)

waitbus wait --source fs --match 'fields.event_type="fs_change"' --timeout 5m

GitHub CI: wait on a commit's terminal conclusion (needs webhook wiring -- see below)

waitbus wait --sha 7f3a1b2 --timeout 5m

If you have used watchexec or entr to re-run a command when a file changes, waitbus wait is the same idea with a wider net: it blocks on a file change too, but it can also wait on a CI run, a pytest session, a container exit, or another agent's event, and hands the verdict back through the exit code. The bus underneath also fans every one of those events out to every other tool on the box.


Architecture

[![waitbus architecture: webhook and in-process sources write to a SQLite event store; a broadcast daemon fans each row out to the CLI, MCP server, and Python SDK, which can replay with since=](https://raw.githubusercontent.com/astrogilda/wa

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

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