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)
In-browser ~60Hz behavior tree execution engine with reactive triggers and blackboard projection.
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": {
"behavior": {
"command": "npx",
"args": [
"-y",
"@putervision/behavior-mcp"
]
}
}
}Run this in your terminal
claude mcp add behavior -- npx -y @putervision/behavior-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"behavior": {
"command": "npx",
"args": [
"-y",
"@putervision/behavior-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": {
"behavior": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@putervision/behavior-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 6, 2026
The registry name was verified with the GitHub account putervision, 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 (0.4.1) reached the registry 34 days 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.
High-Frequency (~60Hz) In-Browser Behavior Tree Tactical Runtime Engine for AI Agents
@putervision/behavior-mcp is a Model Context Protocol (MCP) server that executes deterministic behavior trees directly in browser runtimes at ~60Hz with reactive trigger preemption, frame recordings, SHA-256 Merkle audit chains, and a 5-layer safety guardrail stack.
🌐 Official Documentation: putervision.com • Interactive Web Docs
# 1. Initialize runtime & seed default behavior trees in your workspace
npx @putervision/behavior-mcp init
npx @putervision/behavior-mcp doctor
npx @putervision/behavior-mcp inspect
| Tool | Actions | Purpose |
|---|---|---|
load_behavior | load, unload, swap | Inject, initialize, or hot-swap a behavior tree in browser runtime |
set_parameters | set, get, reset | Dynamically update or query runtime execution parameters |
get_status | current, history, tree_state | Query active status, node traversal path, tick count, duration |
abort_behavior | abort, pause, resume | Halt, pause, or resume behavior execution safely |
register_trigger | register, list | Configure reactive interrupt triggers with priority preemption |
replay_recording | capture, list | Capture or inspect deterministic browser action sequences |
get_metrics | current, history | Retrieve runtime telemetry, tick durations, and stuck events |
manage_behaviors | register, get, list | CRUD for immutable behavior tree JSON with SHA-256 tree hashes |
manage_blackboard | get, set | Read, write, or query shared behavior tree blackboard variables |
manage_runtime_db | stats, audit, snapshot, restore | SQLite diagnostics, SHA-256 Merkle audit, and checkpoint rollback |
PENTAD_HMAC_SECRET).init, doctor, inspect, run)..behavior-mcp.json parameters and environment variables.Add to .cursor/mcp.json or .vscode/mcp.json:
{
"mcpServers": { "behavior-mcp": { "command": "behavior-mcp", "args": ["run"], "env": { "PENTAD_HMAC_SECRET": "your-secure-shared-secret-here" } } } }
# Run full unit and integration test suite across 38 test files (266 tests)
npm test
MIT © PuterVision