Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
User story map + kanban with a live browser UI; AI agents and humans plan the same backlog via MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"storymapper": {
"command": "npx",
"args": [
"-y",
"storymapper",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add storymapper -- npx -y storymapper mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"storymapper": {
"command": "npx",
"args": [
"-y",
"storymapper",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"storymapper": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"storymapper",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account TomAtAP, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.