Koskamo

Archome AI MCP

Official MCP server for Archome AI enabling agents to perform architectural visualization tasks. It allows users to stage empty rooms, render photorealistic interiors and exteriors from photos or sketches, upscale images, and generate renders from text descriptions. The server integrates with ChatGPT and Claude, using the same credit system and engine as the main web platform.

Visit Archome

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Archome AI MCP logo, by ArchomeVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-10-26Operated by Archome
You need:Create an Archome accountsign in to Archomepress Allow
MCP endpoint (Streamable HTTP)
https://archome.ai/api/mcp
Vendor documentation

What you can do with it

  • Stage an empty living room in a specific style using a photo link
  • Convert a hand sketch of a house into a photorealistic exterior render
  • Redesign a room photo while keeping existing walls and windows
  • Check account credit balance and available style presets

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: ai.archome/archome@1.0.0Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · registry · passed · metadata changed · Source metadata updated
  • · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http archome-ai-mcp https://archome.ai/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add archome-ai-mcp --url https://archome.ai/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable archome-ai-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "archome-ai-mcp": {
      "url": "https://archome.ai/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "archome-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://archome.ai/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start archome-ai-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "archome-ai-mcp": {
      "type": "http",
      "url": "https://archome.ai/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http archome-ai-mcp https://archome.ai/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.
Claude Desktop configuration
{
  "mcpServers": {
    "archome-ai-mcp": {
      "url": "https://archome.ai/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "archome-ai-mcp": {
      "serverUrl": "https://archome.ai/api/mcp"
    }
  }
}

Let your agent find its tools

Find servers like Archome AI MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

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Do you run Archome AI MCP?

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