MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
Install World Model MCP
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install putervision/state-memory-mcp world-model-mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/world-model-mcp .claude/skills/world-model-mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .claude/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install putervision/state-memory-mcp world-model-mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/world-model-mcp .agents/skills/world-model-mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .agents/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install putervision/state-memory-mcp world-model-mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/world-model-mcp .cursor/skills/world-model-mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .cursor/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/putervision/state-memory-mcp.git --path .agents/skills/world-model-mcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install putervision/state-memory-mcp world-model-mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/world-model-mcp .gemini/skills/world-model-mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .gemini/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install putervision/state-memory-mcp world-model-mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/world-model-mcp .github/skills/world-model-mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .github/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill world-model-mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install putervision/state-memory-mcp world-model-mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/world-model-mcp .opencode/skills/world-model-mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "world-model-mcp" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/world-model-mcp into .opencode/skills/world-model-mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "world-model-mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
world-model-mcp- GitHub stars
- 114
- Token cost
- ~804 tokens
- SKILL.md length
- 303 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
- Works in 3 steps: Role in the PuterVision Triad → Core Operational Sequence → Tool Reference (15 Tools)
- Tasks that involve MCP servers
- SKILL.md covers 1. Role in the PuterVision Triad, 2. Core Operational Sequence and 3. Tool Reference (15 Tools)
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
World Model MCP is an agent skill from putervision/state-memory-mcp. Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and… The licence is MIT.
When your agent uses it
- Tasks that involve MCP servers
Example prompts
- “Use the world-model-mcp skill to teach the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial…”
- “/world-model-mcp”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 0f60ae4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
World Model MCP loads about 804 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 303 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from putervision/state-memory-mcp at commit 0f60ae4, republished under its MIT licence (© putervision). 303 words, ~804 tokens.
Download SKILL.mdSave it as
.claude/skills/world-model-mcp/SKILL.md (or your agent's skills folder).- name
- world-model-mcp
- description
- Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
Spatial World Model (world-model-mcp)
This skill provides step-by-step guidance and operational patterns for interacting with @putervision/world-model-mcp.
1. Role in the PuterVision Triad
- Perception Layer (
vision-memory-mcp): Ingests images, detects bounding boxes, extracts OCR. - World Model Layer (
world-model-mcp): Maintains persistent 3D/2D coordinates, bounding volumes, topological relations, and object permanence. - Action/State Layer (
state-memory-mcp): Manages task execution DAGs, decisions, blockers, and milestones.
2. Core Operational Sequence
- Inspect World: Call
get_spatial_mapwithformat: 'summary'to check total entities and spatial bounding box. - Proximity Lookup: Call
query_entitieswithnear_positionandmax_distance, orentity_idfor direct lookup. - Ingest Perception: When new visual elements are detected, call
ingest_observation. - Collision Pre-Check: Call
simulate_movementbefore issuing action commands. - Update State: Call
record_outcomeafter actions complete.
3. Tool Reference (15 Tools)
| Tool Name | Key Inputs | Description |
|---|---|---|
update_entity | name, type, position, bounding_box, properties | Upsert entity into spatial memory |
query_entities | query, type, near_position, entity_id, include_history | Find entities by text search, proximity, or entity ID |
set_relation | source_id, relation, target_id, offset | Record spatial relationship (on, inside, near, etc.) |
get_spatial_map | region_id, format (json, gltf, obj, summary) | Export structured spatial layout or summary |
simulate_movement | entity_id, delta_position, mode, check_collisions | Predict movement path or compute navigation waypoints |
ingest_observation | observer_pose, detections, visual_state_id, reconcile | Ingest perception detections and reconcile frustum view |
get_expected_view | observer_position, observer_orientation, fov | Calculate visible entities from observer pose |
link_to_goal | task_id, entity_id, relationship, action | Associate entity with task or extract spatial slice |
record_outcome | action_name, success, resulting_position | Update world state after action completion |
manage_spatial_spec | action, name, bounds, constraints | Spatial SDD contract registration and verification |
create_evidence_pack | task_id, entity_ids, snapshot_ids | Immutable cryptographic evidence package |
use_spatial_blackboard | action, topic, sender, payload | Multi-agent coordination and mutex locks |
manage_snapshot | action, name, snapshot_a, snapshot_b, entity_id | Snapshots, diffs, undo mutations, and time-travel |
generate_game_inputs | entity_id, target_position, control_profile, action | Playwright game inputs and screen coordinate projection |
wait_for_spatial_state | entity_id, condition, threshold, timeout_ms | Polling and waiting for spatial state condition |
© putervision, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/world-model-mcp of putervision/state-memory-mcp.
Open the folder on GitHubat commit 0f60ae4
Compare with similar skills
World Model MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| World Model MCP this skillputervision/state-memory-mcp | 114 | — | ~804 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
MCP Server Builder
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
- Official
MCP Integration for Plugins
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
Crush Configuration
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
Context Mode Output Sandbox
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
Warp GUI to Agent CLI Migration
warpdotdev/warp
Migrates the compatible subset of settings and global file-based MCP servers from the Warp desktop app into Warp Agent CLI without exposing credentials or state.
More from putervision/state-memory-mcp
Behavior MCP
putervision/state-memory-mcp
Teaches the agent to use the Behavior MCP server for ~60Hz in-browser behavior trees, triggers, and recordings.
State Memory MCP
putervision/state-memory-mcp
Teaches the agent to use the state-memory-mcp MCP server to track workflow state, tasks, decisions, blockers, artifacts, plans, milestones, and their semantic relationships in a persistent graph…
Video Ingest
putervision/state-memory-mcp
Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
Webcrypt MCP
putervision/state-memory-mcp
Teaches the agent to use the WebCrypt MCP server for AES-256-GCM symmetric encryption, RSA-4096 hybrid encryption, key generation, digital signatures, hashing, and post-quantum cryptography.
Agent Reasoning MCP
putervision/state-memory-mcp
Teaches the agent to use the Strategic Agent Reasoning MCP server for BDI goals, utility scoring, risk evaluation, and replanning.
Vision Memory MCP
putervision/state-memory-mcp
Teaches the agent to use the Visual Memory MCP server to cache webpage and application screenshots, matching layout states and avoiding redundant LLM vision calls.
Related
Works with
Categories
Questions about World Model MCP
What does World Model MCP do?
Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation. World Model MCP is an agent skill from putervision/state-memory-mcp. Teaches the agent to use the Spatial World Model MCP server to track entities, 3D/2D positions, spatial relationships, object permanence, and movement simulation.
When should I use World Model MCP?
World Model MCP fits situations like: tasks that involve MCP servers.
How do I install World Model MCP in Claude Code?
Run `npx skills add putervision/state-memory-mcp --skill world-model-mcp -a claude-code`. Or copy the skill folder (.agents/skills/world-model-mcp in putervision/state-memory-mcp) into .claude/skills/world-model-mcp in your project. Claude Code loads it when a task matches its description.
How do I install World Model MCP in Codex?
Run `npx skills add putervision/state-memory-mcp --skill world-model-mcp -a codex`. Or copy the skill folder (.agents/skills/world-model-mcp in putervision/state-memory-mcp) into .agents/skills/world-model-mcp in your project. Codex loads it when a task matches its description.
Can I use World Model MCP in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add putervision/state-memory-mcp --skill world-model-mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/world-model-mcp, .gemini/skills/world-model-mcp, .github/skills/world-model-mcp and .opencode/skills/world-model-mcp in your project.
What does World Model MCP need to run?
SKILL.md names no scripts, command-line tools or credentials: World Model MCP is instructions for the agent only.
Does World Model MCP access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is World Model MCP safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does World Model MCP use?
World Model MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does World Model MCP use?
About 804 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to World Model MCP?
Skills that share tags, products or a category with World Model MCP: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains World Model MCP?
putervision (a GitHub organization) maintains it in putervision/state-memory-mcp, which has 114 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 3, 2026.
Source: putervision/state-memory-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.