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

Quilt

作者:wkoverfield版本 0.6.3i★ –i在你的电脑上运行
注册名称io.github.wkoverfield/quilt

安装

概览

作者提供的说明(英文原文)

Track which AI agent wrote which lines in a shared Git checkout; each commits only its own lines.

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: 网店与支付

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": {
    "quilt": {
      "command": "npx",
      "args": [
        "-y",
        "@quilt-dev/cli",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add quilt -- npx -y @quilt-dev/cli 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": {
    "quilt": {
      "command": "npx",
      "args": [
        "-y",
        "@quilt-dev/cli",
        "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": {
    "quilt": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@quilt-dev/cli",
        "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 wkoverfield 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“网店与支付”中的其他服务器比较i

  • 星标数多于此分类中其他 1754 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1754 个服务器的 57% 更新
  • 基础检查结果等于或优于此分类中其他 1754 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

Quilt 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(0.6.3)于23天前进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce

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

Stripe MCP

作者:stripe

MCP server integrating with Stripe - tools for customers, products, payments, and more.

在云端运行★ 2,043MIT12个月前更新
安装

MCP Cn Commerce

作者:TonyWang-hub

8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending

在你的电脑上运行★ 96MIT28天前更新
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。

Quilt

Quilt is a command-line tool that tracks which agent wrote which lines in a shared Git checkout, so multiple AI coding agents can work in one repo at once and each commits only its own changes.

It captures every edit at the tool boundary, keeps a per-line record of who wrote what, and reconstructs each agent's own changes at commit time. Git stays the source of truth. Quilt never calls an LLM or spawns agents, and its state lives in a .quilt/ sidecar you can delete without touching your repo.

npm install -g @quilt-dev/cli

quilt setup # capture hooks wired; claim enforcement via Claude hooks or MCP

The problem

You want your agents in ONE checkout: one node_modules, one build, one dev server, one environment to keep working, not a worktree per agent, each with its own install and its own drift. But on a shared checkout, plain git bites even when agents work on completely different things: the first git commit -am sweeps everyone else's uncommitted files into one blob, codegen and lockfile churn get credited to whoever committed last, and two agents occasionally do land on the same line, where one silently overwrites the other. None of that requires agents to be working on the same task. It's just what a shared checkout does by default.

Quilt makes the shared checkout safe. Every agent commits exactly its own lines and nothing else: disjoint work stays disjoint all the way into history, with no ceremony. And when two agents genuinely want the same code, that becomes a coordinated handoff instead of a silent loss. It holds as you add agents.

./examples/fleet.sh runs seven agents against one checkout. The two endings:

WITHOUT quilt   1 commit for 7 agents — six got "nothing to commit", their

work swept into the first agent's blob. a7 silently overwrote a1's change to getUser. a1's work is gone.

WITH quilt 6 clean commits, one per agent, each exactly its own lines. a7's write into a1's claimed function was denied before any bytes changed, with a1's stated intent in the denial.

When two agents want the same file

Fanning out on disjoint files is the easy case. The real test is contention. A denied claim isn't a dead end. It carries the holder's stated intent and when their lease lapses:

$ QUILT_ACTOR=builder-flows quilt claim deals.js flows.js --intent "wire flows to deals"

✗ denied deals.js (held by builder-friction) builder-friction is: friction pass: rename + archive flags their claim lapses 2026-07-04T22:12:05Z unless renewed ✓ claimed flows.js

So the blocked agent builds its granted files while it waits, re-claims after the holder's commit auto-releases, and layers its change on top of the landed one. Two clean commits, both changes in the file, nothing lost. ./examples/contention.sh runs the whole sequence on the real machinery.

What it does

  • One shared checkout. Model humans, agents, and bots as actors editing one working tree, no worktree per agent.
  • Line-level attribution. commit --mine commits only your lines, even when they share a hunk with another actor's.
  • Symbol-level claims. Reserve utils.js#formatPrice, not the whole file, so agents editing different functions never contend. Ten languages via tree-sitter; whole-file claims for the rest.
  • Collision prevention. A write into code another agent has claimed is denied, with the holder's stated intent, before any bytes change.
  • Push-awareness. Claim a symbol that depends on a function another actor is changing, and Quilt warns you at claim time.
  • Detect and preserve. If one actor overwrites another's uncommitted lines, Quilt snapshots the victim's version so nothing is silently lost.

Every commit Quilt produces is an ordinary Git commit. It trusts Git and never rewrites it, and all state lives locally under .quilt/. No account, no daemon.

Quickstart

quilt setup      # wire Quilt into the repo (capture hooks + optional MCP tools)

quilt doctor # confirm it's wired and capture is flowing

That's it. Agents are named automatically: each Claude Code session or MCP connection gets its own id, so parallel agents are told apart with no setup.

4 terminals, one repo

The whole flow, from a git repo to four agents working at once:

cd your-repo

quilt setup # once, ~5 seconds claude # terminal 1 claude # terminal 2 claude # terminal 3 claude # terminal 4

Start sessions from a directory that holds several repos? Run quilt setup there instead: it wires the workspace root and every repo inside, and each edit is captured into the repo its file belongs to.

Nothing else. No QUILT_ACTOR, no per-terminal ceremony, nothing to approve: the capture hooks attribute every edit to its session automatically. Watch it live with quilt fleet, and when a session's work is ready, ask it to run quilt commit --mine -m "...". Each commit contains exactly that session's lines, even where two sessions touched the same file. (Claude Code will also offer to enable the optional quilt MCP server for the project; approving it adds the claim/prevention tools, but the hooks protect you either way.)

Watch the fleet

quilt ui opens the same picture in your browser, live: who wrote what (per-actor line counts per file), active claims, who's blocked on whom, and anything that needs a human. Local-only (127.0.0.1), read-only, one command.

Prefer the terminal? quilt fleet --watch is the same view as text.

Set an explicit id when you want one that is stable across sessions:

QUILT_ACTOR=auth-agent claude    # this agent's edits are attributed to auth-agent

Then each agent commits only its own lines:

quilt status                     # who owns what

quilt preview --mine # exact patch that would be committed quilt commit --mine -m "fix auth redirect" quilt provenance HEAD # actor, session, files, hunks, tree

Quilt writes that provenance into the Git commit itself, so it survives normal pushes and fresh clones. Prompt correlation stays local in quilt ui; it is not published into Git history.

In a shared shell, make the committer explicit (quilt --as auth-agent commit --mine ...). Quilt refuses a checkout-global session identity when the dirty tree shows another actor. If a deploy provider requires a recognized Git email, set one once while keeping actor names distinct:

quilt config author.email you@example.com

quilt fleet shows the whole picture: every actor, their claims, and anything that needs a human. See docs/reference.md for the full command list.

Why not worktrees?

A worktree per agent is the usual answer, and for fully independent tasks it works. But every worktree is another environment to build (another install, another build cache, another dev server) and isolation just moves the collision to merge time. Those costs grow with the number of agents; the whole point of a shared checkout is paying for the environment once.

Run fewer agentsWorktree per agentQuilt
Parallelismcapped lowhighhigh
Setup per agentnonefull install/build/env × Nnone (one checkout)
See each other's in-flight workn/anoyes
Collisionsavoided by handsurface at mergeprevented, or surfaced live
Clean per-agent commitsn/aafter a mergeyes

Worktrees isolate; they don't coordinate. When agents work the same code at the same time, you usually want them to see each other and account for each other as they go. That is what Quilt does. The two aren't mutually exclusive: worktrees for independent, long-running work, Quilt for agents in the same code at once.

Using it with agents

quilt setup wires the capture hooks and a shared MCP server. On Claude Code the hooks let agents use the built-in Edit and Write tools normally while Quilt records each change's author and blocks a write into code another agent holds, with no protocol for the agent to follow and no setup: each session is named automatically, or carries its own QUILT_ACTOR for a stable id. For other runtimes, the same capture and prevention is available as MCP tools, with each connection named automatically the same way.

See docs/orchestrators.md for Codex, Cursor, Aider, and the difference between process-per-agent and many-agents-in-one-process setups.

Docs

  • docs/orchestrators.md: running a fleet of agents.
  • docs/reference.md: the full command list, how attribution works, and the .quilt/ state layout.
  • bench/: the scenario ladder Quilt is tested against, run with and without Quilt on the same metrics.

Telemetry

One anonymous heartbeat per day: quilt version, OS, Node major, random local id. Nothing else unless you opt in at quilt setup, and never code, paths, repo or actor names. quilt telemetry off, QUILT_TELEMETRY=0, or DO_NOT_TRACK=1 silences everything. Details: docs/reference.md.

Contributing

Contributions are welcome. See CONTRIBUTING.md.

License

MIT

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