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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

ImmoStage Virtual Staging

larrywalkerdev/mcp-immostage
2authHTTPregistry active
Summary

Connects Claude to ImmoStage's AI virtual staging API for real estate workflows. You get five tools: stage_room transforms empty room photos into furnished spaces with configurable styles like modern or Scandinavian, beautify_floor_plan converts 2D plans into 3D renders, classify_room detects room types and suggests staging styles, optimize_listing generates German property descriptions, and suggest_style recommends furniture aesthetics. The staging and floor plan tools consume credits and take 20 to 40 seconds, while classification and text generation are free and fast. Requires a Bearer token from goerz@immostage.ai. Built for German-speaking real estate agents and PropTech platforms that need production-ready staged images without hiring photographers.

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ImmoStage Virtual Staging MCP Server

MCP TypeScript License: MIT

AI-powered virtual staging MCP server for real estate professionals. Stage empty rooms with photorealistic furniture, beautify floor plans into 3D renders, classify room images, generate German property descriptions, and get staging style recommendations — all through the Model Context Protocol. Built for Immobilienmakler, PropTech platforms, and real estate photographers in the DACH market.

Quick Start

Connect your MCP client to the ImmoStage server:

Server URL: https://mcp.immostage.ai/api/mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "immostage": {
      "url": "https://mcp.immostage.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Contact goerz@immostage.ai for API access.

Tools

ToolDescriptionCostLatency
stage_roomAI virtual staging — transform empty room photos into beautifully furnished spacesUses credits~20-40s
beautify_floor_planTransform 2D floor plans into 3D isometric architectural rendersUses credits~20-40s
classify_roomClassify room images: type, empty/furnished, quality score, style suggestionFree~2s
optimize_listingGenerate professional German property descriptions from basic listing dataFree~3s
suggest_styleGet staging style recommendation based on room type and target audienceFreeInstant

Usage Examples

Stage an empty living room

Stage this room in modern style: https://example.com/empty-living-room.jpg

The stage_room tool accepts:

  • image_url — Public URL to the room image (JPEG/PNG)
  • style — Staging style: modern, skandinavisch, luxus, minimalistisch, boho, landhausstil
  • room_type — Room type: wohnzimmer, schlafzimmer, kueche, bad, buero, kinderzimmer, flur
  • quality — Output quality: draft (fast) or high (detailed)

Returns staged image URLs ready for download or embedding.

Classify then stage

First classify this room image, then stage it with the recommended style:
https://example.com/room-photo.jpg

The agent will:

  1. Call classify_room to detect room type and suggest a style
  2. Call stage_room with the detected room type and suggested style

Optimize a property listing

Write a listing description for a 3-room apartment in Berlin-Mitte,
85m2, balcony, built 1998, renovated 2023, asking price 420,000 EUR.

The optimize_listing tool generates:

  • Professional German property description (Exposé-ready)
  • TLDR summary
  • Key feature highlights
  • SEO-optimized text

Authentication

All requests require a Bearer token in the Authorization header:

Authorization: Bearer YOUR_API_KEY

Contact goerz@immostage.ai for API access. Free tier includes 10 staging credits for testing.

Rate Limits

  • 100 requests/minute per API key
  • Rate limit headers included in responses (X-RateLimit-Remaining)
  • Staging and floor plan tools consume credits based on your plan

Links

  • ImmoStage Homepage — AI Virtual Staging Platform
  • GitHub — Source Code

License

MIT — Copyright 2026 ImmoStage

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Registryactive
TransportHTTP
AuthRequired
UpdatedFeb 18, 2026
View on GitHub