Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
作者による説明(英語の原文)
User story map + kanban with a live browser UI; AI agents and humans plan the same backlog via MCP.
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。
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。
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。
必要なもの
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": {
"storymapper": {
"command": "npx",
"args": [
"-y",
"storymapper",
"mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add storymapper -- npx -y storymapper mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"storymapper": {
"command": "npx",
"args": [
"-y",
"storymapper",
"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。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"storymapper": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"storymapper",
"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。
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。
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
レジストリ名は、リポジトリを所有するGitHubアカウント TomAtAP で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
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
パソコンで動き、代わりにローカルの設定を使います
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
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。
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。
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。
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)。
GitHubリポジトリの最終更新は–、最新バージョン(1.0.1)がレジストリに届いたのは4 か月前です。
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。
同じカテゴリには:Browser Use, Chrome DevTools MCP, MCP Server Browser
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
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
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。
A User Story Map + Kanban board that a product owner and an AI coding agent plan together — the same backlog, live, from a browser and from an MCP client — with the quality method built in.
Storymapper is one Node.js package that ships three things:
The result is a shared planning surface: the agent isn't writing to a database the human can't see — the two work the same board in real time.
Planning AI-assisted development breaks down when the plan lives in one place and the work in another. Storymapper makes the plan a live, bidirectional artifact:
When an agent does the building, the human contribution moves up a level: you describe the product, review its behavior, and steer the work through the process. That process is Storymapper's real substance — a complete quality method the engine enforces as tool-level rules: a ticket is specified before it is built (Definition of Ready) and proven before it counts as done (Definition of Done plus a published test plan with recorded runs), and your requirements stay traceably linked to the stories that implement them and the tests that verify them. An agent that tries to skip a step gets a structured error naming exactly what is missing — and fixes it. This puts professional-grade quality assurance into the hands of everyone who thinks in products — founders, domain experts, product owners: the method speaks the language of the product and lets you hold an agent's work to a standard you can verify. The workflow itself (statuses, transitions, gates, board columns) is configurable per project, and the companion skill teaches the agent the discipline, not just the tools.
modules; the server runs the same files under Node via a UMD wrapper. Clone and run.shared/core.js and is *symlinked* into the frontend and *re-exported* by the server — the same code runs in the browser, the HTTP server and the MCP server, with no mirror step to drift.http.createServer + manual routing. Small, readable, dependency-light.better-sqlite3, atomic per-save transactions, a per-project mutex, and count-bounded revision retention.For the full picture — layering, data model, live-sync mechanism, testing approach and deliberate non-goals — see [ARCHITECTURE.md](ARCHITECTURE.md).
better-sqlite3 is a native module. Prebuilt binaries cover mainstream platforms (macOS / Linux / Windows on x64 + arm64 for supported Node versions), so npm install usually just works. On an unsupported platform/Node combination it compiles from source and needs a C/C++ toolchain (Xcode Command Line Tools, build-essential, or the Windows build tools).git clone <your-fork-url> storymapper
cd storymapper npm install
npm start
Open http://localhost:8770/ — that's all. The page connects to the server it was loaded from and stores every project there (SQLite, with full revision history).
Hosting the page somewhere else? Served from a different origin, the UI
runs on browser
localStorageinstead; point it at a running server with
?api=. The page must be loaded fromlocalhost/127.0.0.1— opening
the HTML directly as a
file://page is not supported (see the security
model).
Storymapper reaches an agent through two parts: the MCP server (the tools) and the companion skill (the working method — the DoR/DoD contract, the workflow discipline, when to read the board and when to write to it). Installing one does not install the other, so the setup commands below always install both:
| Surface | Command | What remains |
|---|---|---|
| Claude Code (CLI) | npm run install-code | restart your Claude Code session |
| Claude Desktop | npm run install-desktop | upload dist/storymap-skill.zip under Settings → Capabilities → Skills, then fully restart the app — and use a Chat (see below) |
| claude.ai in the browser | — | works with remote connectors only; it cannot reach a local server. Use Claude Code or Claude Desktop. |
npm run install-code copies the skill to ~/.claude/skills/storymap and registers the MCP server via claude mcp add (user scope). If the claude CLI is unavailable it prints the ready-made command instead.
npm run install-desktop writes the server entry into the platform's claude_desktop_config.json (existing entries survive, a .bak backup is kept) and builds the skill zip. The skill store in Claude Desktop is managed by the app, so the one upload in the UI is the single step no script can do for you.
Chat, not Cowork. Claude Desktop reaches local MCP servers from Chat
conversations only — in Cowork mode the Storymapper tools are not
available. If Cowork is your default surface, switch to a Chat; when the
tools don't show up, this is the first thing to check.
Both commands are idempotent — re-run them after pulling a new Storymapper version. --data-dir=DIR overrides the data directory (default: /.storymap-data).
Any stdio MCP client can run the server with this shape:
{
"mcpServers": { "storymapper": { "command": "node", "args": [ "/absolute/path/to/storymapper/server/index.js", "mcp", "--data-dir=/absolute/path/to/storymapper/.storymap-data" ] } } }
The skill package (npm run package-skill → dist/storymap-skill.zip) is plain Markdown — storymap/SKILL.md plus its reference/ files. For harnesses like Codex, unpack it wherever instructions live and point the harness at it, e.g. from an AGENTS.md:
Before planning work on the Storymapper board, read storymap/SKILL.md
(and the reference/ files it names) and follow that working method.
Point --data-dir at the same directory the HTTP server uses. Both processes can run concurrently against one SQLite file (WAL mode + a busy-timeout); the HTTP server relays every MCP write to connected browsers over WebSocket.
Every tool is also a one-shot CLI command running over the same tool core:
node server/index.js tool list_projects
node server/index.js tool ticket_create '{"projectId": "…", "title": "…"}'
The result JSON goes to stdout (exit codes: 0 ok, 1 tool error, 2 unknown tool / bad arguments); arguments come from the positional JSON string, --json= , or piped stdin. This opens the full tool surface to shell scripts, CI jobs and harnesses that don't speak MCP.
Only one
storymapper servermay run per data directory (a PID lock refuses a
second;
--forcetakes over a stale lock after a crash). The MCP process is
exempt and may always share the data dir.
Storymapper is a local single-user tool — one human plus their agent on one machine. There is deliberately no authentication layer:
localhost by default. Do not expose it on a non-loopback interface (--host=0.0.0.0, a reverse proxy, a Docker port map) without putting your own authentication in front — anyone who can reach the port can read and write every project.Access-Control-Allow-Origin and mutating methods are rejected — this stops a random website you visit from driving your local API. WebSocket upgrades are origin-checked the same way.X-Content-Type-Options: nosniff.X-Actor-* headers are attribution, not authentication — they label who did what in the revision history and are not verified.server/identity.js) is already in place.npm test # ≈1800 assertions, plain Node scripts, no test framework
The suite is a homegrown runner (tests/run.js) over tests/test-*.js: pure unit tests, storage/mutex/revision tests, in-process and stdio MCP round-trips, JSDOM renderer tests, and a real-server end-to-end test. CI runs it on Node 20 and 22. Tests only ever touch temporary directories — running them never touches your data.
Licensed under the Apache License 2.0 — see LICENSE and NOTICE.