Open-source B2B and marketplace ecommerce; new stores include an MCP server for AI agents.
Quilt
概要
作者による説明(英語の原文)
Track which AI agent wrote which lines in a shared Git checkout; each commits only its own lines.
PopNx MCPの3つの柱
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
- 利用者の声iレビューはまだありませんレビューは今後のステップで、アカウント機能と一緒に始まります
- 私たちの基本チェックi1項目中1項目に合格公開情報からチェック。コードはまだスキャンしていません
- 利用状況i未計測★ –
できること
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
- 接続方法: パソコンで動く
- トランスポート: stdio
- カテゴリ: ネットショップ・決済
インストール
使っているAIアプリを選んで、設定をコピーしてください。
インストールの前に
- 基本チェック:1項目中1項目に合格
- あなたのパソコンで、あなたのユーザーと同じ権限(ファイル、ネットワーク、アプリ)で動きます。
- レジストリには、入力が必要なキーは載っていません。
必要なもの
- npmNode.jsのインストール(npxコマンドに必要)
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"quilt": {
"command": "npx",
"args": [
"-y",
"@quilt-dev/cli",
"mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add quilt -- npx -y @quilt-dev/cli mcpまたは、設定を自分でコピーする
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"quilt": {
"command": "npx",
"args": [
"-y",
"@quilt-dev/cli",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
または、設定を自分でコピーする
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"quilt": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@quilt-dev/cli",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
できること
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
基本チェックi
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
- ✓ 合格
作者とリポジトリが一致
レジストリ名は、リポジトリを所有するGitHubアカウント wkoverfield で確認済みです
- … 未チェック
今もメンテナンスされている
このリポジトリはまだGitHubから読み取っていません
- … 未チェック
ライセンスがある
このリポジトリはまだGitHubから読み取っていません
- – 対象外
エンドポイントが応答する
これはパソコンで動くため、インターネット上のエンドポイントはありません
- – 対象外
OAuthでサインイン
パソコンで動き、代わりにローカルの設定を使います
- … 未チェック
ツールの説明に隠れた指示がない
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
ネットショップ・決済のほかのサーバーとの比較i
- このカテゴリのほかの1749件のうち0%よりスターが多い
- このカテゴリのほかの1749件のうち58%より最近レジストリに公開
- 基本チェックの結果が、このカテゴリのほかの1749件のうち100%と同じかそれ以上
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
よくある質問
Quiltは安全ですか?
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
どんなキーやコードが必要ですか?
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
パソコンで動きますか、それともクラウドですか?
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
今もメンテナンスされていますか?
GitHubリポジトリの最終更新は–、最新バージョン(0.6.3)がレジストリに届いたのは23 日前です。
どのアプリで使えますか?
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
代わりに使えるものは?
同じカテゴリには:Spree Commerce: open-source B2B and marketplace ecommerce, Stripe MCP, MCP Cn Commerce
代わりの候補
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Stripe MCP
MCP server integrating with Stripe - tools for customers, products, payments, and more.
MCP Cn Commerce
8 read-only MCP platform entries; support is operation-specific; merchant live acceptance pending
作者のREADME
READMEを開く
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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 --minecommits 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 agents | Worktree per agent | Quilt | |
|---|---|---|---|
| Parallelism | capped low | high | high |
| Setup per agent | none | full install/build/env × N | none (one checkout) |
| See each other's in-flight work | n/a | no | yes |
| Collisions | avoided by hand | surface at merge | prevented, or surfaced live |
| Clean per-agent commits | n/a | after a merge | yes |
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