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Behavior Runtime MCP

by putervisionversion 0.4.1i★ –iRuns on your computer
Registry nameio.github.putervision/behavior-mcp

Install

Overview

Description from the maker (original English)

In-browser ~60Hz behavior tree execution engine with reactive triggers and blackboard projection.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

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-mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account putervision, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

  • More stars than 0% of the other 878 servers in this category
  • Published to the registry more recently than 52% of the other 878 servers in this category
  • Basic checks equal to or better than 100% of the other 878 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Behavior Runtime MCP safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 34 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

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

Browser Use

by 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.

Computer or cloud★ 120,087MITUpdated 17 days ago
Install

Chrome DevTools MCP

by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago
Install

MCP Server Browser

by bytedance

MCP server for browser use access

Runs on your computer★ 39,550Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

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.

@putervision/behavior-mcp

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


⚡ 15-Second Quick Start

# 1. Initialize runtime & seed default behavior trees in your workspace

npx @putervision/behavior-mcp init

2. Run system diagnostic and health checks

npx @putervision/behavior-mcp doctor

3. Inspect active executions, blackboard state, and reactive triggers

npx @putervision/behavior-mcp inspect


🛠️ 10 Core MCP Tools

ToolActionsPurpose
load_behaviorload, unload, swapInject, initialize, or hot-swap a behavior tree in browser runtime
set_parametersset, get, resetDynamically update or query runtime execution parameters
get_statuscurrent, history, tree_stateQuery active status, node traversal path, tick count, duration
abort_behaviorabort, pause, resumeHalt, pause, or resume behavior execution safely
register_triggerregister, listConfigure reactive interrupt triggers with priority preemption
replay_recordingcapture, listCapture or inspect deterministic browser action sequences
get_metricscurrent, historyRetrieve runtime telemetry, tick durations, and stuck events
manage_behaviorsregister, get, listCRUD for immutable behavior tree JSON with SHA-256 tree hashes
manage_blackboardget, setRead, write, or query shared behavior tree blackboard variables
manage_runtime_dbstats, audit, snapshot, restoreSQLite diagnostics, SHA-256 Merkle audit, and checkpoint rollback

🛡️ 5-Layer Safety Guardrail Stack & System 1 Invariants

  1. Fail-Closed Evaluator: Unrecognized node definitions throw fatal exceptions immediately.
  2. 60Hz Tick Invariant & Synchronous `semantic_check`: The loop never blocks on external network calls; semantic condition checks resolve synchronously against blackboard caches.
  3. HMAC Intention Gate Verification: Intentions dispatched to execution nodes require unexpired, cryptographically signed dispatch tokens (PENTAD_HMAC_SECRET).
  4. Action Rate Limiter & Leaf Policy Gate: Strict 60 actions/sec maximum throughput ceiling and policy guardrails blocking irreversible mutations.
  5. Emergency Kill Switch & Watchdog Heartbeat: Atomic safety latch and watchdog timers halting execution if tick stalls beyond 5,000ms.

📚 Deep Documentation Guides

  • 📖 [Formal API Reference](docs/api-reference.md): Full parameter tables, type definitions, and tool schemas.
  • 💡 [Core Architecture & Concepts](docs/concepts.md): Behavior tree execution model, ~60Hz loop, and trigger lifecycle.
  • 🖥️ [CLI Usage Guide](docs/cli-usage.md): Complete CLI command reference (init, doctor, inspect, run).
  • 💾 [Database Schema](docs/database-schema.md): SQLite table structures, indexes, and Merkle audit ledger.
  • ⚙️ [Configuration Reference](docs/configuration.md): .behavior-mcp.json parameters and environment variables.

🔗 Client Configuration & Environment

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" } } } }


🧪 Testing

# Run full unit and integration test suite across 38 test files (266 tests)

npm test


📄 License

MIT © PuterVision

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