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World Model MCP

by putervisionversion 0.6.1i★ –iRuns on your computer
Registry nameio.github.putervision/world-model-mcp

Install

Overview

Description from the maker (original English)

Persistent 3D/2D spatial world model for AI agents with dynamic velocity and entity tracking.

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: Design, images & audio

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": {
    "world-model": {
      "command": "npx",
      "args": [
        "-y",
        "@putervision/world-model-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add world-model -- npx -y @putervision/world-model-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "world-model": {
      "command": "npx",
      "args": [
        "-y",
        "@putervision/world-model-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": {
    "world-model": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@putervision/world-model-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 7, 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 Design, images & audioi

  • More stars than 0% of the other 2187 servers in this category
  • Published to the registry more recently than 44% of the other 2187 servers in this category
  • Basic checks equal to or better than 100% of the other 2187 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 World Model 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 (0.6.1) 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: Figma Context MCP, Claude Real Video, Figma MCP Server

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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 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/world-model-mcp

@putervision/world-model-mcp is a zero-infrastructure, deterministic Model Context Protocol (MCP) server that maintains a persistent 3D/2D spatial world model for AI agents. It bridges perception (@putervision/vision-memory-mcp) and reasoning/action (@putervision/state-memory-mcp) with durable entity tracking, object permanence with confidence decay, movement simulation with AABB collision avoidance, expected view frustum projection, and Playwright 3D game automation.

🌐 Official Documentation & Website: putervision.com

⚡ Quick Start & Installation

Prerequisites: Node.js >= 18.18.0

# 1. Install globally

npm install -g @putervision/world-model-mcp

2. Navigate to your project directory

cd your-project

3. Initialize world-model-mcp

Creates .world-model-mcp/, updates .gitignore, registers project,

and scaffolds IDE instructions and MCP configs for Cursor, Claude, VS Code, Windsurf, etc.

world-model-mcp init

Done! Restart your IDE or Agent Manager to activate.

Alternative Options
# Run directly via binary (after global install)

world-model-mcp run

Launch interactive 3D WebGL Scene Visualizer

world-model-mcp view

Display database metrics and permanence confidence stats

world-model-mcp stats

🌟 Key Highlights

  • 🌐 Deterministic 3D/2D Spatial Memory & Compact Slices: Zero LLM in the loop for spatial indexing; deterministic SQLite WAL queries with FTS5 search, 3D Euclidean proximity radius lookups, and sub-1KB observer-relative compact slices ($K \le 16$ nearest entities) for System 1 fast path evaluation.
  • ⚡ 15 Production-Grade Consolidated MCP Tools: Full CRUD, topological spatial graphs (on, inside, contains, near), ray-AABB occlusion frustum culling, waypoint navigation, and time-travel rollback.
  • ⏳ Object Permanence & Decay: Entities remain in persistent memory even when out of view, with configurable exponential confidence decay ($C = C_0 \cdot e^{-\lambda t}$) and status lifecycles (active → hidden → lost).
  • 🚀 Collision & Movement Simulation: Predicts entity displacement trajectories, detects AABB obstacle collisions, and computes obstacle-avoiding navigation waypoints before actions execute.
  • 🎮 Playwright Game Automation: Generates timed WASD / Arrow keyboard hold sequences (KeyW for 450ms, ArrowLeft for 290ms) and 3D↔2D coordinate screen projections.
  • 🤝 Multi-Agent Spatial Blackboard: Topic-based coordination with TTL, mutex locks, and collision intent alerts across parallel subagents.
  • 🛡️ Spatial Spec-Driven Development (Spatial SDD): Physical design contract baseline registration, live verification (clearance, bounds, containment), and cryptographic SHA-256 evidence bundles.
  • 🎨 Interactive 3D WebGL Visualizer: Browser-based Three.js 3D viewport rendering active entities, orientation axes, frustum cones, and topological links (world-model-mcp view).
  • 🔒 100% Local & Private: All spatial entities, relations, and history stay inside .world-model-mcp/ in your workspace.

🛠️ MCP Tool Suite

@putervision/world-model-mcp provides 15 production-grade consolidated MCP tools organized across 5 core workflow domains:

  • Spatial Memory & Search: update_entity (entity CRUD, 3D bounds, properties, confidence), query_entities (FTS5 search, proximity radius, status/tags filter, history lookup), set_relation (topological graph links: on, inside, near, contains), get_spatial_map (JSON, GeoJSON, glTF 2.0, OBJ, summary, and format: "compact_slice").
  • Simulation & Vision Integration: simulate_movement (displacement prediction, AABB collision checks, waypoint routing), ingest_observation (vision detection ingestion, Euclidean re-identification, frustum reconciliation), get_expected_view (observer pose, horizontal FOV cone, ray-AABB occlusion).
  • Goal & State Integration: link_to_goal (associate entities/regions with State Memory tasks, extract spatial context slices), record_outcome (record execution results, position shifts, property changes, destruction).
  • Spatial SDD & Proofs: manage_spatial_spec (register physical clearance/containment contracts, live verification scoring), create_evidence_pack (cryptographic SHA-256 evidence bundles linking spatial proofs to task nodes).
  • Multi-Agent, Replay & Automation: use_spatial_blackboard (topic board, mutex claim/release, intent conflicts), manage_snapshot (checkpoints, snapshot diffing, time-travel undo), wait_for_spatial_state (async polling for target spatial condition), generate_game_inputs (Playwright WASD hold timings, 3D↔2D screen ray projection).

👉 For complete parameter specifications, return schemas, and example payloads, see the [API Reference Guide](docs/api-reference.md) and [Database Schema](docs/database-schema.md).

🚀 Architecture & Spatial Memory Lifecycle

                     Perception / Vision Detection

│ ▼ ┌─────────────────────────────────┐ │ Perception Ingestion & Re-ID │ ──▶ ingest_observation(reconcile: true) └────────────────┬────────────────┘ │ ▼ ┌─────────────────────────────────┐ │ Durable Entity & Permanence │ ──▶ update_entity(...) │ (3D Bounding Boxes, Decay) │ ──▶ set_relation(relation: "on"|"inside") └────────────────┬────────────────┘ │ ▼ ┌─────────────────────────────────┐ │ Simulation & Waypoint Routing │ ──▶ simulate_movement(mode: "navigate") │ (AABB Collision Avoidance) │ ──▶ get_expected_view(fov: 90) └────────────────┬────────────────┘ │ ▼ ┌─────────────────────────────────┐ │ Playwright & Action Execution │ ──▶ generate_game_inputs(...) │ (WASD Sequences, Screen Rays) │ ──▶ record_outcome(action_type: "move") └────────────────┬────────────────┘ │ ▼ ┌─────────────────────────────────┐ │ Spatial SDD & Cryptographic │ ──▶ manage_spatial_spec(action: "verify") │ Evidence Bundling to Tasks │ ──▶ create_evidence_pack(...) └────────────────┬────────────────┘ │ ▼ ┌─────────────────────────────────┐ │ Persistent SQLite Engine │ ──▶ .world-model-mcp/world.db (WAL mode) │ Append-Only History Ledger │ ──▶ SHA-256 Cryptographic Audit Chain └─────────────────────────────────┘

📚 Documentation Directory

Explore dedicated guides and deep dives in the docs/ directory:

GuideDescription
🏗️ [Architecture & Codebase Distillation](docs/codebase-distillation.md)High-signal architectural overview, module inventory, data flows, and design decisions.
💡 [Features & Triad Overview](docs/features.md)PuterVision Autonomous Triad interaction, 3D WebGL scene visualizer, and evidence packs.
📋 [Spatial World Model Concepts](docs/concepts.md)Object Permanence ($C = C_0 \cdot e^{-\lambda t}$), Confidence Decay, Frustum Projection, and Spatial SDD.
⚙️ [Configuration & IDE Setup](docs/configuration.md)Auto-Initialization details, Environment Variables, and Editor Configs (Cursor, VS Code, Claude, Windsurf).
🛠️ [CLI Command Reference](docs/cli-usage.md)CLI flags (init, run, view, stats, inspect, map, export, import, doctor, snapshot, spec, blackboard).
🧰 [Tools & API Reference](docs/api-reference.md)Complete reference for all 15 Consolidated MCP Tools, legacy tool mapping, and parameter examples.
🗄️ [Database Schema](docs/database-schema.md)SQLite tables (entities, spatial_relations, entity_history, spatial_specs, blackboard_items, evidence_packs).
🎮 [Interactive 3D Game Arena Demo](docs/game-demo.html)Autonomous 3D browser arena with Three.js bridge diagnostics (window.__WORLD_MODEL_BRIDGE).
🧭 [Examples & Tutorials](docs/examples/)Deep-dive examples: Spatial Navigation, Perception Reconciliation, and Multi-Agent Blackboard.

📖 Agent Playbook: 5-Step Canonical Workflow

When an autonomous AI agent enters a repository with world-model-mcp:

1. Orient & Explore   ──▶ get_spatial_map(format: "summary") + get_expected_view(fov: 90)
  1. Query & Locate ──▶ query_entities(query: "chest", radius: 15) + query_entities(entity_id: "...")
  2. Plan & Simulate ──▶ simulate_movement(mode: "navigate") + manage_spatial_spec(action: "verify")
  3. Execute & Ingest ──▶ generate_game_inputs(...) + ingest_observation(reconcile: true)
  4. Record & Evidence ──▶ record_outcome(...) + create_evidence_pack(task_id: "...")

🧪 Testing

# Run full unit, integration, and geometry stress test suite across 47 test files (206 tests)

npm test

Run multi-Node matrix test suite across Node.js 18, 20, and 22

npm run test:matrix

Run 3D geometry, projection, and Playwright game loop tests

npm run test:3d

⚖️ License & Disclaimers

Developed and maintained by PuterVision. Released under the MIT License.

  • Local Storage Guarantee: All spatial coordinates, bounding volumes, and entity history remain 100% local in your workspace. No telemetry or project data is ever transmitted.
  • Trademarks & Non-Affiliation: Product names (Cursor, Claude Code, Gemini, Windsurf, VS Code, GitHub, SQLite, Three.js, Playwright) are property of their respective owners and used solely for compatibility identification.
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