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AI real-estate photo editing via the Pedra API: virtual staging, renovation, enhancement, video.
AI real-estate photo editing via the Pedra API: virtual staging, renovation, enhancement, video.
Valid MCP server (4 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: PEDRA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-pedra-ai-pedra-mcp": {
"env": {
"PEDRA_API_KEY": "your-pedra-api-key-here"
},
"args": [
"-y",
"@pedra-ai/mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Official Model Context Protocol server for the Pedra API — use Pedra's AI real-estate photo editing (virtual staging, renovation, room emptying, enhancement, sky replacement, object removal/blur, and property videos) directly from Claude, ChatGPT, Cursor, and any other MCP client.
It exposes one tool per API endpoint. Each tool is a single blocking call that returns the final asset URL(s) — there are no job IDs to poll.
You need a Pedra API key — get one from your Pedra account. The server reads it from the PEDRA_API_KEY environment variable.
The server runs over stdio and is published to npm, so most clients just run it with npx — no global install needed.
Download the latest pedra-mcp.mcpb from Releases and double-click it (or drag it into Claude Desktop → Settings → Extensions). Claude installs the bundled server and prompts for your PEDRA_API_KEY — no JSON editing.
Or add this to your claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"pedra": {
"command": "npx",
"args": ["-y", "@pedra-ai/mcp"],
"env": { "PEDRA_API_KEY": "your-api-key" }
}
}
}
In ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": {
"pedra": {
"command": "npx",
"args": ["-y", "@pedra-ai/mcp"],
"env": { "PEDRA_API_KEY": "your-api-key" }
}
}
}
Run the binary directly with the key in the environment:
PEDRA_API_KEY=your-api-key npx -y @pedra-ai/mcp
Or install it:
npm install -g @pedra-ai/mcp
PEDRA_API_KEY=your-api-key pedra-mcp
You can also install and configure Pedra automatically via Smithery:
npx -y @smithery/cli install @pedra-ai/mcp --client claude
(swap claude for cursor, windsurf, etc.) Smithery prompts for your PEDRA_API_KEY and writes the client config for you.
| Tool | Endpoint | What it does |
|---|---|---|
pedra_enhance | /enhance | Improve lighting, color, sharpness |
pedra_enhance_and_correct_perspective | /enhance_and_correct_perspective | Enhance + straighten perspective |
pedra_empty_room | /empty_room | Remove all furniture/objects |
pedra_furnish | /furnish | Virtually stage a room |
pedra_renovation | /renovation | Renovate walls/floors/finishes |
pedra_edit_via_prompt | /edit_via_prompt | Edit from a natural-language prompt |
pedra_sky_blue | /sky_blue | Replace a dull sky with clear blue |
pedra_remove_object | /remove_object | Remove an object using a mask |
pedra_blur | /blur | Blur faces, license plates, etc. |
pedra_create_video | /create_video | Render a property video from images |
pedra_credits | /credits | Read plan + remaining credits |
pedra_feedback | /feedback | Thumbs up/down + optional credit-back |
Most image tools take an imageUrl (a public URL or a data: URL) plus a few optional parameters; see each tool's input schema in your MCP client. Example prompts once connected:
"Use Pedra to virtually stage https://example.com/empty-living-room.jpg as a minimalist living room."
"How many Pedra credits do I have left?"
This server is a thin wrapper over @pedra-ai/sdk, which encodes the API's contract details:
pedra_create_video polls server-side and returns the finished videoUrl inline (it can take up to ~10 minutes; the API keeps the connection alive with a heartbeat).This server sends the image/video URLs and parameters you pass to the Pedra API to perform the requested edit, authenticated with your PEDRA_API_KEY. It stores no data itself. Data collection, usage, storage, retention, third-party sharing, and contact information are covered by Pedra's privacy policy: https://pedra.ai/privacy.
MIT © Pedra
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