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

bundlebox

作者:blackswanalpha版本 0.8.0i★ –i在你的电脑上运行
注册名称io.github.blackswanalpha/bundlebox

安装

概览

作者提供的说明(英文原文)

Where the work is, packed before the agent reads: brief, symbol tables, findings, token bill.

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: 其他

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

  • npm已安装 Node.js(用于 npx 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": {
    "bundlebox": {
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add bundlebox -- npx -y bundlebox mcp

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": {
    "bundlebox": {
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "mcp"
      ]
    }
  }
}

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": {
    "bundlebox": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "bundlebox",
        "mcp"
      ]
    }
  }
}

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 blackswanalpha 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32433 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32433 个服务器的 48% 更新
  • 基础检查结果等于或优于此分类中其他 32433 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

bundlebox 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(0.8.0)于上个月进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Symantec Cloud DLP AIops

作者:AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

在你的电脑上运行今天更新
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。

bundlebox The zero-token software factory for AI coding agents.

Scan, pack, route and run work across Claude Code, Codex, Gemini CLI, Cursor, Copilot, OpenCode, Aider and any custom agent, and measure every token a session used and was spared.

An AI coding agent is billed for what it reads, and most of what it reads is orientation, not judgement: where a symbol lives, whether two tables agree, which command proves a change, what changed since last week. bundlebox answers every question a parse, a count, a path check or a set difference can answer *before* the agent opens, packs the answers into a brief sized to the agent's window, opens the agent under a measured-minimal flag stack, and measures afterwards what the session used and what it was spared. It never calls a model itself.

bb genesis   ->  a world     a doc becomes surfaces, rules and capabilities  0 tokens

bb scan -> findings what is wrong, with evidence 0 tokens bb fix -> patches local actuators close what they can 0 tokens bb cookbook -> a board what the RUNNING system does, run by the kernel 0 tokens bb simulate -> limits what it does at a hundred callers 0 tokens bb compile -> units what to do about the rest, packed to one window bb pinpoint -> a brief where the work is, quoted and budgeted, before a model opens bb arc -> an index every declaration in one file, read in microseconds 0 tokens bb route -> lanes who does it, where, in what wave bb run -> sessions the only verb that spends bb finish -> a ledger what proves this done, declared first and run after 0 tokens bb git -> PRs commit, push, draft PR, review, gated merge 0 tokens bb runbook -> the system is it up, is it ANSWERING, what broke since 0 tokens bb recom -> an answer what was already driven, and whether it holds 0 tokens bb recom gate-> a decision and therefore whether to drive at all 0 tokens bb dotty -> a screen what it showed, as rows a session can diff 0 tokens bb sieve -> a window a tool result shrunk before it is billed twice 0 tokens bb uptake -> a verdict of everything wired in, what sessions reached for 0 tokens bb monitor -> the window what the 5-hour block has left, and the guard 0 tokens bb session -> the bill what a session used and saved, measured 0 tokens bb lathe -> automation what this box did by hand more than twice, as scripts 0 tokens bb env -> a checklist what a complete .bundlebox holds, and whether this has 0 tokens

Measured on the reference workspace (regenerate with bb session, bb tokens profile --probe, bb buckmaster episodes):

beforeafter
opening window per spawned session, before any work44.3k tokens29.2k tokens (−34%)
the same findings, planned5 sessions, 1.3M projected2 sessions, 351k (−74%)
one pipeline tick (bb pipeline run intake)226 agent turns133 s, 0 model tokens

Install

npm i -g bundlebox

or

curl -fsSL https://raw.githubusercontent.com/blackswanalpha/bundlebox/main/scripts/install.sh | sh

Needs Node ≥ 20 and git. Linux, macOS and Windows are supported: CI runs the full suite on all three against Node 20, 22 and 24. Two known gaps remain on Windows — a piped acceptance gate reports the last command's exit code rather than the first failure, because cmd.exe has no set -o pipefail (unpiped gates are exact), and bb session may not find transcripts, because the name Claude Code gives its projects directory there has not been verified. Three optional Rust and Python components make it faster and smarter, and everything degrades cleanly without them:

  • Rust kernel (bbk): tree walks, fingerprints, token estimates, duplicate windows, symbol indexes, acceptance gates with real timeouts, worktrees. bb kernel install fetches a release binary; bb kernel build compiles it with cargo. Without it the JS implementations run, and a selftest pins both to identical answers.
  • Rust index compiler (arc): compiles the derived symbol tables into one binary index the read and search guards answer from, 13x faster than scanning the tables in a cold hook process. bb arc build, recompiled by bb snapgen build when the tables move. Every reader falls back to scanning the tables when the index is absent, truncated or not an index, because "there is no index" and "nothing is declared" are different answers.
  • Python expert system (bundlebox_expert, stdlib only): the rule engine with explainable derivations, confidence shrinkage, transcript signals, the process model and memory. bb buckmaster needs python3 ≥ 3.9; nothing in the zero-token path does.

There are no npm dependencies. A cron worker at 03:00 runs what is on disk or it does not run.

Start here

cd your-repo

bb init # detect languages, agents and gates; write .bundlebox/config.json bb doctor # what this box can run, which runtime serves each op bb wire --apply # hooks, skills, instruction blocks and MCP entries for every agent bb env up --apply # build everything a session reads, so nothing is derived by searching bb scan # the detectors. Seconds, 0 tokens bb findings # what the store holds; bb explain for one bb pinpoint gaps # every open finding as a located, quoted, budgeted brief bb pinpoint next # make one of them the ACTIVE brief the guards answer from bb compile # findings -> units, each packed to one window (dry run) bb route # units -> lanes (dry run) bb run # writes the exact prompt and command per lane, spawns nothing bb run --apply # spawns the sessions bb finish check # run the acceptance ledger; unproven never reads as green bb session # what the last session used and saved

From a document instead of from the code:

bb genesis docs/PRD.md --base http://127.0.0.1:4400   # surfaces, rules, capabilities, a seeded corpus

bb genesis plan # what nothing covers, ranked and tiered bb genesis pack # one small brief per surface bb genesis send calendar --run --spend # the only step that costs anything bb cookbook check && bb cookbook run # the kernel executes what came back bb mainboard gaps # the first stage that does not hold, and its fix bb console # one page: the pipeline, the window, every session

Every verb is a dry run until --apply. Only run and bridge send can spend.

Wiring into agents

bb wire --apply installs four things per agent detected on the box: an instruction block between markers, hooks where the agent supports them, skills where it loads them, and an MCP server entry. bb unwire removes only its own blocks, entries, hook rows and skills.

agentinstructionshooksskillsMCP
Claude CodeCLAUDE.mdUserPromptSubmit (builds the brief), PreToolUse Read/Grep/Bash (serves it), SessionStart (table index), PostToolUse (the sieve, off until sieve.enabled), PreCompact, SessionEnd (the bill).claude/skills.mcp.json
Codex CLIAGENTS.md—.codex/skills.codex/config.toml
Gemini CLIGEMINI.md——.gemini/settings.json
Cursor.cursor/rules/bundlebox.mdc——.cursor/mcp.json
GitHub Copilot.github/copilot-instructions.md——.vscode/mcp.json
OpenCodeAGENTS.md——opencode.json
Cline / Roo.clinerules/bundlebox.md———
Windsurf.windsurf/rules/bundlebox.md———
Aider.aider.conf.yml reads AGENTS.md———
any commandlanes.custom_command with {prompt_file} {cwd} {model}———

Two skills ship and cost nothing until they trigger, which is the property an instruction block does not have: it arrives in every system prompt and is billed whether the session was about it or not. bb-finish is completion discipline backed by runnable gates; antislop is the prose ruleset with what each rule costs and what to write instead.

bb mcp serves bb_pinpoint, bb_context, bb_snapgen, bb_findings, bb_scan, bb_oversight_brief, bb_explain, bb_tokens_estimate and bb_session over stdio as JSON-RPC 2.0, with no dependency.

bb wire --apply writes the entry for every agent in the table above. For an agent it does not manage:

{ "mcpServers": { "bundlebox": { "command": "npx", "args": ["-y", "bundlebox", "mcp"] } } }

Claude Code takes it as one line, or as a plugin, which carries the two skills and the hooks with it:

claude mcp add bundlebox -- npx -y bundlebox mcp

or

/plugin marketplace add blackswanalpha/bundlebox /plugin install bundlebox@bundlebox

Full guide, including the agents not in this table, how to wire one bundlebox does not know about, and how to drive agents as lanes: [docs/agents.md](docs/agents.md). bb uptake then reports which of the installed surfaces the sessions reached for.

Advisory lost; enforcement is the fix

bb uptake measured the gap. Over 15 sessions on this workspace the MCP tools fired in 0, pinpoint in 3 of the 13 sessions that opened five or more distinct files, and the reference tables in 5 of the 15 that ran a search. Those 13 sessions opened between 30 and 598 files each. Everything wired in front of the agent was a recommendation, and a recommendation loses to the model's own habit about three times in four.

So the wiring changed kind.

Run it, do not recommend it. UserPromptSubmit builds the brief itself on a task-shaped prompt — 0.47s against a 15s budget, because every input pinpoint reads is a stored artefact and it computes none of them. What enters the window is the map, about 300 tokens.

Serve what it found. PreToolUse denies a read whose region the brief already quotes and hands the quote back in the denial reason; denies an exact duplicate read; denies a declaration search the symbol tables already answer and hands back the rows; and asks before opening a file that was cut for budget. A file in scope is never fully blocked — Claude Code needs one successful read before it will edit, so the denial names the range and that read is allowed. Grep is the declared tool and Bash is where the measured transcripts search, so both are guarded.

Rank on specificity and path. Enforcing a brief raises the cost of a bad locate. Inverse document frequency over the candidate set stops an exact match on a name the tree uses everywhere from outscoring a loose match on a rare one, and a directory named wire now counts as evidence about what a file is for. An explicitly named file is pinned first rather than scored.

The verbs

verbanswerscost
scan, findings, explain, fixsixteen generic detectors with evidence and expected-value triage; local actuators that write a patch before a file0
compile, route, context, gatesunits packed to a window with quoted regions and hoisted evidence; lanes with conflicts as affinity and waves; does this scope fit0

| run | lanes on t

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