Enterprise DNA
M MCP Servers Developer low

LarryWalkerDEV/mcp-immostage

by Various

MCP Server for AI Virtual Staging — stage rooms, beautify floor plans, classify images, optimize property listings. Built by immostage.ai

L

MCP

LarryWalkerDEV/mcp-immostage

Added 1 June 2026

#ai-staging #immobilien #mcp #mcp-server #proptech #real-estate #virtual-staging

Overview

An MCP server for AI virtual staging that stages rooms, beautifies floor plans, classifies images, and optimizes property listings. Built by immostage.ai and written in TypeScript.

Best for

Best for
Real estate professionals and developers building property listing tools

Use cases

  • Staging empty rooms for real estate listings
  • Beautifying floor plan images for marketing
  • Classifying property images to improve listing quality

Notes

An MCP server for AI virtual staging that stages rooms, beautifies floor plans, classifies images, and optimizes property listings. Built by immostage.ai and written in TypeScript.

2 stars on GitHub. Last updated 2026-02-19. Licensed MIT.

Use cases

  • Staging empty rooms for real estate listings
  • Beautifying floor plan images for marketing
  • Classifying property images to improve listing quality

Pros

  • Integrates with the MCP ecosystem for tool orchestration
  • Targets a specific real estate use case with multiple features
  • Written in TypeScript for type safety and maintainability

Cons

  • Low GitHub stars indicate limited community adoption or maturity
  • Requires an MCP client to function, adding setup overhead
  • Niche focus may not suit general image processing needs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Integrates with the MCP ecosystem for tool orchestration
  • Targets a specific real estate use case with multiple features
  • Written in TypeScript for type safety and maintainability

Cons

  • Low GitHub stars indicate limited community adoption or maturity
  • Requires an MCP client to function, adding setup overhead
  • Niche focus may not suit general image processing needs