Homesage.ai vs Pedra MCP

In-depth architectural comparison of the Homesage.ai and Pedra MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Homesage.ai when:

• You need dedicated capabilities in the Real Estate domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: Investment-property search, Real estate APIs for developers, Insights across more than 155 million U.S. properties.

Explore Homesage.ai Details

Choose Pedra MCP when:

• You need dedicated capabilities in the Real Estate domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
• You have access to required keys: PEDRA_API_KEY.
• Primary tools included: pedra_enhance, pedra_enhance_and_correct_perspective, pedra_empty_room.

Feature & Specification Comparison

Specification	Homesage.ai Real Estate	Pedra MCP pedra-ai Real Estate
Summary	AI-powered investment property search for investors, realtors, and lenders, with real estate APIs for developers and insights across more than 155 million U.S. properties.	AI photo and video editing for real-estate listings via the Pedra API: virtual staging, renovation, room emptying, photo enhancement, sky replacement, object removal/blur, and property video generation. npx @pedra-ai/mcp
Category & Scope	Real Estate

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "homesage-ai": {
      "command": "npx",
      "args": [
        "-y",
        "homesage-ai"
      ]
    }
  }
}

{
  "mcpServers": {
    "pedra-ai-pedra-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pedra-ai/mcp"
      ],
      "env": {
        "PEDRA_API_KEY": "YOUR_PEDRA_API_KEY_HERE"
      }
    }
  }
}

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