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Aperture MCP

作者:jaysinailabs版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.jaysinailabs/aperture-mcp

安装

概览

作者提供的说明(英文原文)

Flag when a tracked commitment vanishes verbatim between two versions. A signal, not a judge.

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

  • 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": {
    "aperture": {
      "command": "uvx",
      "args": [
        "aperture-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add aperture -- uvx aperture-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": {
    "aperture": {
      "command": "uvx",
      "args": [
        "aperture-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": {
    "aperture": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "aperture-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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 jaysinailabs 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 32709 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32709 个服务器的 15% 更新
  • 基础检查结果等于或优于此分类中其他 32709 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

Aperture MCP 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:Spec Driven Development, Remote Desktop Commander, SwarmMemo

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前天更新
安装

SwarmMemo

作者:Hugo0

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

在云端运行今天更新
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。

Aperture

A commitment tripwire · git hook · CI · CLI · MCP

Did an agent quietly drop a commitment from your spec — and no one noticed?

English · 简体中文

AI agents now rewrite the documents that govern your work — specs, plans, ADRs, charters, AGENTS.md files. Somewhere in the edit, a constraint you set earlier can quietly disappear.

**Aperture is a *commitment tripwire*. You name the commitments you care about; it flags — word for word** — when one of them vanishes between two versions of a decision document.

Catching *"a commitment silently vanished"* is a tripwire job: it should fire on an event, deterministically, without asking permission. So Aperture ships that check on the surface that fits it best first — a git pre-commit hook / CI check that runs with no LLM, offline — and also as a CLI and an MCP server for agents to call mid-task. MCP is one adapter, not the whole product.

A signal, not a judge. It trips; *you* investigate.

Opt-in · runs locally · never trains on your data.


What it is (and what it is not)

Aperture compares two text states of the same decision — an earlier version and a later one — and surfaces a narrow, specific kind of decision drift: when a tracked commitment’s exact text disappeared. One engine, several surfaces:

  • git pre-commit hook / CI check — the deterministic form. Fires on the commit / PR event with no model in the loop, and blocks (or warns) automatically.
  • `aperture check` CLI — run the same check by hand between any two git states.
  • MCP server — so an agent can call the check while it edits (weaker as a tripwire, since it only runs if the agent *chooses* to call it — but useful mid-task).

What the engine does and doesn’t do:

  • ✅ It does: flag when a commitment you listed *verbatim* is present in version A and gone from version B — across commits, sessions, or authors. It returns a structured, comparable result with its own blind spots written on the label.
  • ❌ **It does *not*: understand meaning. It matches text as a case-insensitive substring, so it misses** a commitment that was *reworded / softened / paraphrased* (it looks dropped-free even though the promise weakened); it declines/abstains on a commitment that was merely *translated* (it can’t compare verbatim across scripts, so it returns degraded rather than false-flag); and it can still false-flag a commitment that was merely *reformatted* (the words moved, the meaning didn’t). It does not rank options, score quality, or tell you a change was *wrong*. That judgment stays with you. Moving to the deterministic git-hook makes the check *fire reliably* — it does not widen what it can see. Same narrow, verbatim signal.

If you want one sentence: Aperture is `grep` for vanished commitments, wired to fire on commit — and honest enough to admit what it can’t see.


Quickstart (≈2 minutes)

pip install aperture-mcp   # installs the `aperture` CLI + the MCP server (wire the CLI as a git hook — see below)

The PyPI package is named `aperture-mcp` because the bare name aperture was already taken on

PyPI. The -mcp suffix is a historical package-name artifact — the product is Aperture, and

MCP is only one of its surfaces. One pip install gives you all three below.

1. The deterministic tripwire — git pre-commit hook / CI (no LLM, offline)

Create a .aperture.toml — a watchlist of the commitments that must not silently vanish, per file:

fail_on_drop = true

[[watch]] path = "CHARTER.md" commitments = ["never train on your data", "data stays on the device"]

aperture check compares two git states and flags any watched commitment that disappeared verbatim:

aperture check                                    # HEAD vs working tree (default)

aperture check --staged # HEAD vs the staged index — for a pre-commit hook aperture check --ref-a origin/main --ref-b HEAD # any two refs — for CI on a PR

Exit code 1 blocks the commit when a watched commitment dropped (the default); --warn-only prints the finding but never blocks. It’s stdlib-only, makes no network calls, and runs no model.

Wire it as a pre-commit hook — either through the pre-commit framework (uses this repo’s .pre-commit-hooks.yaml):

# .pre-commit-config.yaml

repos:

  • repo: https://github.com/jaysinailabs/aperture-mcp rev: v0.2.0 hooks:
  • id: aperture-commitment-drift

…or as a standalone .git/hooks/pre-commit:

#!/bin/sh

exec aperture check --staged

…or run it in CI as a GitHub Action on every PR (needs fetch-depth: 0 so both sides are available — see examples/github-action/aperture-check.yml):

- uses: actions/checkout@v4

with: { fetch-depth: 0 }

  • run: pip install aperture-mcp
  • run: aperture check --ref-a ${{ github.event.pull_request.base.sha }} --ref-b ${{ github.sha }}

Kick the tires first with the bundled fixture (clone the repo): it trips on a dropped commitment

against checked-in before/after docs, no setup, fully offline —

python3 examples/git_decision_drift/git_decision_drift.py.

2. Mid-task, from an agent — the MCP server

The same check, callable by an agent while it edits. (An MCP tool only fires if the agent *chooses* to call it — a weaker delivery for a tripwire than the git-hook, but handy mid-task.)

{

"mcpServers": { "aperture-mcp": { "command": "aperture-mcp" } } }

Prefer zero-install? Point the client at uvx instead:

{ "command": "uvx", "args": ["aperture-mcp"] }.

3. Or from your own Python
from aperture import compare, Anchor, AnchorKind

result = compare( state_a="We commit to: ci-gates-green before release; data-never-leaves-device.", state_b="We commit to: data-never-leaves-device.", anchors=[Anchor(kind=AnchorKind.COMMITMENT, id="ci-gates-green")], ) print(result.status) # DROPPED_SILENTLY print(result.anchor_violations) # the commitment that vanished


A scene you’ll recognize

On a long task, your agent keeps rewriting the doc it works from — a plan, a spec — across sessions and edits. And every so often, a line that mattered just… vanishes.

*“Always ask before you delete anything.”* Gone. *“User data never leaves the device.”* Gone. *“The free tier stays free.”* Gone.

Nobody meant to drop them; nobody reads all 400 lines of the diff.

Aperture watches the exact lines you name. Put it on the commit — a hook that fires before the drop lands — and it won’t try to understand the doc or judge it; it just tells you which promise was there, word for word, and now isn’t. A tripwire, not a judge — and honest about the rest: soften a line, reword it, or change a number instead of deleting it, and it’ll slip past. Better you hear that now.


What trips it — and what slips past

Aperture is a heuristic. We measured it on our own gold corpus and we publish the numbers instead of a single flattering score, because *knowing where it’s blind is the product* — recall 0.400, precision 0.667 on a 100-case corpus, labeled by an isolated LLM-judge panel (it catches 26 of 65 real drifts; ~1 flag in 3 is noise), full breakdown in docs/measured-limits.md:

Kind of changeDoes Aperture flag it?
A watched commitment deleted verbatim✅ Reliably — this is the one thing it’s good at (24 of 24 in the corpus)
A commitment reworded / softened (“must” → “should”)❌ Missed — the text still “matches”
A commitment paraphrased / restructured❌ Missed
A number / scope / negation quietly changed❌ Missed
A commitment translated to another language⚠️ Declines (abstains) for a *natural-language* anchor — it can’t compare verbatim across scripts, so it returns degraded rather than false-flag (a commitment dropped and translated is missed)

The deterministic surface doesn’t widen the aperture. The git-hook fires reliably — but it still

only catches verbatim deletion. Every ❌ / ⚠️ row above is exactly as blind through the hook as

through MCP. What you gain is *when* it checks (on the commit, without anyone remembering to ask),

not *what* it can see.

Anchor style matters for that last row: the abstain applies to a natural-language anchor. A

code-identifier anchor (the ci-gates-green style the quickstart teaches) is treated as

*translation-stable* — Aperture keeps checking it across languages, so if that exact token disappears

it still flags DROPPED_SILENTLY (usually what you want for a stable identifier).

Takeaway: treat every flag as *“look here,”* never as *“this is wrong”* — and never assume silence means nothing drifted. Aperture catches the verbatim disappearance case well and is honest that it catches little else. That narrow, reliable signal is useful precisely *because* it doesn’t pretend to be more.

Hit one of those misses on your own docs? That's the single most useful thing you can send us —

report it in ~30s (your wording is optional). Real misses guide what

we fix next.

Why not just git diff / grep? You can reproduce the core check by hand. What Aperture adds is

that it’s wired to fire on the commit / PR event (as a hook or CI check) *and* callable

mid-task by an agent (over MCP); it returns a structured, directional result

(ok / degraded / DROPPED_SILENTLY / …); and it reports its own blind spots in the result

so a human can audit the gaps. It’s ergonomics + honesty around a simple, legible check — not a

smarter detector.


Why this exists

Long-running and multi-agent workflows drift. A constraint set in turn 3 / session 1 / by agent A gets quietly edited away forty turns later, in another session, by agent B — and nobody notices until it ships. Aperture is a preflight you can put on the documents agents maintain: name the commitments that must not silently vanish, and get a tripwire when one does — ideally on the commit itself, before the drop ever lands.

It is deliberately small and legible. It is not an AI that decides for you; it is a signal that helps *you* stay consistent with yourself.


Who it’s for

Teams and builders who (a) let AI agents edit repo-resident decision documents — specs, plans, ADRs, charters, and AGENTS.md files — and (b) keep those documents under version control. If your agents touch text that encodes promises, Aperture gives you a cheap, honest tripwire — on the commit, in CI, or mid-task — on the ones you can’t afford to lose silently.


Privacy

  • Opt-in and local. Aperture runs on your machine — the git-hook, the CLI, and the MCP server alike. It makes no network calls.
  • Never trains on your data. Your decision text is yours; it never leaves your process.
  • Usage logging is off by default and, when enabled, records only metadata (timestamp, tool, status, counts) — never your decision text or commitment wording.

Honesty about the demo

The repository ships a small hand-authored fixture ADR (a before/after pair under examples/git_decision_drift/fixtures/), where Aperture corre

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