原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Waitbus

作者:astrogilda版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.astrogilda/waitbus

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

claude mcp add waitbus -- uvx waitbus

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 astrogilda 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1393 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1393 个服务器的 28% 更新
  • 基础检查结果等于或优于此分类中其他 1393 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Waitbus 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.0)于4个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx