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Plateau Creative MCP

by pixelx-jpversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.pixelx-jp/plateau-creative-mcp

Install

Overview

Description from the maker (original English)

PLATEAU 3D city data as scene-editing and glTF export tools for creative LLM agents.

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": {
    "plateau-creative": {
      "command": "npx",
      "args": [
        "-y",
        "@yodolabs/plateau-creative-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add plateau-creative -- npx -y @yodolabs/plateau-creative-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "plateau-creative": {
      "command": "npx",
      "args": [
        "-y",
        "@yodolabs/plateau-creative-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": {
    "plateau-creative": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@yodolabs/plateau-creative-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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account pixelx-jp, 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 2759 servers in this category
  • Published to the registry more recently than 10% of the other 2759 servers in this category
  • Basic checks equal to or better than 100% of the other 2759 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 Plateau Creative 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 (0.1.1) reached the registry 5 months 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

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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
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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.

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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.

@yodolabs/plateau-creative-mcp

An MCP server that turns Project PLATEAU's 3D city data into scene-editing and glTF export tools for creative LLM agents.

English · 日本語

A real Shibuya block — loaded from PLATEAU, edited, and exported as one .glb by the export_glb tool, here rendered with three.js. Same geometry your LLM hands off to Blender / Unity / Unreal. Data © Project PLATEAU / MLIT (CC BY 4.0).

This server exposes tools. Orchestration is your LLM's job — point Claude / Cursor / any MCP client at this server alongside Blender MCP / Unity MCP / Unreal MCP and let it compose the workflow.

PLATEAU has an official MCP server for data access (catalog, specs, CityGML, attributes). This one fills the missing creation, scene-editing, and DCC export layer: load a Tokyo neighbourhood, delete every skyscraper, scale a block to 3× height, and emit a .glb ready for Blender / Unity / Unreal — all driven by tool calls.

flowchart LR

CLIENT["Claude / Cursor (any MCP client)"] -->|tool calls| MCP["plateau-creative-mcp"] MCP -->|download_area| DATA["plateau-bridge artifact index + bundles"] MCP -->|"load → filter → edit"| SCENE["scene_id (in-memory)"] MCP -->|export_glb| OUT[".glb + LICENSE.txt"] OUT --> DCC["Blender / Unity / Unreal"]

Status

v0.1.0 — first public release. 10 MCP tools (incl. on-demand artifact download — no data clone needed), polygon footprint extrusion with mesh merging, single-GLB export ≤ 1 km² (≈40% gltf-transform compression) with a scene_manifest 3D Tiles fallback for larger areas, three data-access modes (TS+duckdb artifact / Python subprocess / upstream MCP via JSON-RPC), Overpass POI linking, and an optional cross-MCP bridge to BlenderMCP. Vendor-neutral over MCP — Claude, Cursor, any client works.

Tools

ToolPurpose
download_areaFetch + cache a prebuilt city bundle from the plateau-bridge artifact index (resolves the slug, downloads the .tar.zst, verifies sha256, extracts buildings.parquet + manifest.json), so load_area works without cloning the data pipeline.
load_areaLoad a city + bbox + LOD into a new scene_id.
filter_buildingsQuery building_uid[] inside a scene by height / year / use / zoning / flood depth.
delete_buildingsCounterfactual edits — mark buildings as removed.
extrude_buildingsScale heights by a factor.
compose_sceneSet render hints (time of day, weather, camera).
export_glbEmit a .glb (single_glb, real geometry from the parquet) or a scene_manifest referencing 3D Tiles. scene_manifest tile enrichment needs locally-built 3D Tiles; downloaded cities get a tile-less manifest (edits + bbox + attribution) plus a tileset_note.
link_buildings_to_poisAssociate buildings with nearby OSM POIs (Overpass).
get_attributionFull dataset / license / URL metadata for a scene.
render_via_blenderExport the scene as GLB and (optionally) bridge to a BlenderMCP-compatible HTTP MCP server via JSON-RPC. Dry-run returns the suggested cross-MCP call sequence instead.

When PLATEAU_UPSTREAM_ENABLED=true, the server also exposes 13 tools proxied from the official Project PLATEAU MCP server: plateau_spec_outline, plateau_spec_read, plateau_get_metadata, plateau_search_areas, plateau_get_area, plateau_search_datasets, plateau_get_dataset, plateau_list_dataset_types, plateau_citygml_get_attributes, plateau_citygml_get_features, plateau_citygml_get_geoid_height, plateau_get_citygml_files, plateau_explain_spatial_id. The LLM client sees 23 tools in a single catalog, with no need to wire two separate MCP servers.

Every tool returns { result, attribution_metadata }. export_glb writes asset.extras.attribution into the GLB and a LICENSE.txt next to it. You must keep that attribution in any derived video, image, or asset.

Quickstart

npm install

npm run build

There are two ways to get city data in place.

Option A — zero setup (recommended)

Don't clone the data pipeline at all. Out of the box the server reads the public plateau-bridge artifact index, so download_area works with no configuration — it fetches the prebuilt bundle for a city, verifies its sha256, and caches it locally:

export PLATEAU_AUTO_DOWNLOAD=true     # load_area auto-fetches a missing city (optional)

export PLATEAU_OUTPUT_DIR=./out npx @yodolabs/plateau-creative-mcp # stdio MCP server

Call download_area(city="shibuya") once (or set PLATEAU_AUTO_DOWNLOAD=true and just call load_area, which fetches a missing city first). Only buildings.parquet + manifest.json are extracted; bundles cache under PLATEAU_ARTIFACT_DIR (default ~/.cache/plateau-creative-mcp/artifacts), so each city downloads only once. Point PLATEAU_ARTIFACT_INDEX_URL at a different index to use your own mirror.

Downloaded bundles do not include 3D Tiles (they are gigabytes per city). Everything works from the parquet — load_area, all edits, and export_glb single_glb (real geometry, ≤ 1 km² / ≤ 5000 buildings). Only scene_manifest export loses its tile references for downloaded cities (it still emits the edit list, bbox, and attribution, with a tileset_note telling you to narrow to single_glb or run a local build). For full-geometry exports of larger areas, use Option B with a local build.

For Claude Desktop, add to claude_desktop_config.json:

{

"mcpServers": { "plateau-creative": { "command": "npx", "args": ["-y", "@yodolabs/plateau-creative-mcp"], "env": { "PLATEAU_AUTO_DOWNLOAD": "true", "PLATEAU_OUTPUT_DIR": "/Users/you/plateau-out" } } } }

Option B — bring your own artifacts

If you already have plateau-bridge's out_ / outputs, point straight at them:

export PLATEAU_ARTIFACT_DIR=/path/to/plateau-bridge

export PLATEAU_OUTPUT_DIR=./out npx @yodolabs/plateau-creative-mcp # stdio MCP server

{

"mcpServers": { "plateau-creative": { "command": "npx", "args": ["-y", "@yodolabs/plateau-creative-mcp"], "env": { "PLATEAU_ARTIFACT_DIR": "/path/to/plateau-bridge", "PLATEAU_OUTPUT_DIR": "/Users/you/plateau-out" } } } }

Smoke run without an MCP client:

npx tsx scripts/smoke-load-area.ts

Example workflows

1. Cyberpunk Shibuya flythrough (cross-MCP)
load_area(city="shibuya", bbox=[139.6975,35.6555,139.7045,35.6605], lod=2)

-> compose_scene(time="19:30", weather="rain") -> export_glb() # to ./out/ _v3.glb => BlenderMCP: import_glb + cyberpunk shader + render

flowchart LR

LLM(("LLM")) --> A["plateau-creative-mcp load · edit · export_glb"] LLM --> B["Blender MCP import · shade · render"] A -->|".glb + sidecar"| B

2. Tokyo without skyscrapers
load_area(...)

-> filter_buildings({height_min: 100}) -> delete_buildings(filter={height_min: 100}) -> export_glb()

3. Office-tower draft (requires zoning fields in the artifact)
load_area(...)

-> filter_buildings({zoning_use: ["commercial"], far_max_min: 400}) => SketchUp MCP: design a new building inside those parcels

Architecture

src/

server/ MCP protocol entry, tool registry, unified envelope tools/ 10 MCP tool handlers schemas/ Zod schemas + JSON Schema export scene/ scene_id LRU + lock + optional disk persistence data/ Artifact (duckdb) access layer + on-demand bundle downloader export/ three.js scene builder + GLTFExporter + manifest fallback attribution/ Envelope wrapping, attribution merge rateLimit/ Token bucket per (client, tool) errors/ Stable error codes + AppError config/ Env-driven config utils/ ids, bbox, paths, logger

  • `scene_id` is the only shared state. All mutate / export tools must reference it. IDs are server-generated ULIDs.
  • `building_uid` is the single canonical reference. No gml_id or batch index alternates.
  • `export_glb` hard limits: ≤ 1 km² bbox and ≤ 5000 buildings for single_glb. Larger scenes return EXPORT_LIMIT_EXCEEDED with a suggestion to switch to scene_manifest.
  • Attribution is wrapped at the executor level — no handler can return a result without it.

Configuration

EnvDefaultMeaning
PLATEAU_ARTIFACT_DIR~/.cache/plateau-creative-mcp/artifactsDirectory containing out_ /buildings.parquet. Defaults to a cache dir (where download_area writes); set it to point at an existing plateau-bridge checkout.
PLATEAU_ARTIFACT_INDEX_URLplateau-bridge distribution/index.jsonCache index (JSON) listing each city's bundle URL + sha256. Defaults to the public mirror; override to use your own.
PLATEAU_ARTIFACT_DOWNLOAD_TIMEOUT_MS300000Per-download timeout in milliseconds (5s–30min).
PLATEAU_AUTO_DOWNLOADfalsetrue makes load_area auto-fetch a missing city from the index before loading.
PLATEAU_OUTPUT_DIR./outWhere .glb / LICENSE.txt / manifests are written.
PLATEAU_DATA_MODEartifactartifact (TS + duckdb) or subprocess (Python helper).
PLATEAU_PYTHON_BINpython3Python interpreter for subprocess mode (must have duckdb installed).
PLATEAU_SUBPROCESS_SCRIPTbundled python/plateau_query.pyOverride path to the JSON-stdio helper.
PLATEAU_SCENE_DIR./.scene-storeDisk dir when scene persistence is enabled.
PLATEAU_PERSIST_SCENESfalsetrue to serialize scenes to disk between calls.
PLATEAU_MAX_SCENES64LRU cap on in-memory scenes.
PLATEAU_SCENE_TTL_MS3600000Scene TTL in milliseconds.
OSM_OVERPASS_URLunsetSet to enable link_buildings_to_pois (e.g. https://overpass-api.de/api/interpreter).
OSM_OVERPASS_TIMEOUT_MS25000Overpass request timeout.
PLATEAU_UPSTREAM_ENABLEDfalsetrue registers 13 official plateau_* tools proxied to the hosted PLATEAU MCP.
OFFICIAL_PLATEAU_MCP_URLhosted defaultOverride the official PLATEAU MCP endpoint (rare).

See .env.example for a copy-paste template.

Footprint geometry vs box fallback

Polygon extrusion via the DuckDB spatial extension is on by default; on first run the extension is auto-installed. If install/load fails (offline CI, restricted environment), the exporter cleanly falls back to centroid-anchored 12 m × 12 m boxes per building. available_attributes in load_area's response includes footprint_polygon when the high-fidelity path is active.

Mesh merging + sidecar index

single_glb exports merge every building into on

Only the beginning is shown; read the rest in the repo

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