Pedra
About
AI real-estate photo and video editing — virtual staging, renovation, room emptying, enhancement, sky replacement, object removal, and property videos — via the Pedra API.
Details
- Author
- pedra-ai
- Categories
- Marketing, Other, Media, AI
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Setup
Install Pedra in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/pedra-ai/pedra-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
OfficialModel Context Protocolserver for thePedra API— use Pedra's AI real-estate photo editing (virtual staging, renovation, room emptying, enhancement, sky replacement, object removal/blur, and property videos) directly fromClaude, ChatGPT, Cursor, and any other MCP client.
It exposesone 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 yourPedra account. The server reads it from thePEDRA_API_KEYenvironment variable.
The server runs over stdio and is published to npm, so most clients just run it withnpx— no global install needed.
Download the latestpedra-mcp.mcpbfromReleasesand double-click it (or drag it into Claude Desktop → Settings → Extensions). Claude installs the bundled server and prompts for yourPEDRA_API_KEY— no JSON editing.
Or add this to yourclaude_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.jsonin 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
npm install -g @pedra-ai/mcp PEDRA_API_KEY=your-api-key pedra-mcp
You can also install and configure Pedra automatically viaSmithery:
npx -y @smithery/cli install @pedra-ai/mcp --client claude
(swapclaudeforcursor,windsurf, etc.) Smithery prompts for yourPEDRA_API_KEYand writes the client config for you.
Most image tools take animageUrlplus a few optional parameters; see each tool's input schema in your MCP client. TheimageUrl(andmaskUrl, and eachcreate_videoframe) accepts any of:
- a publichttps://URL,
- adata:URI, or
- anabsolute path to a local image file— the server reads it off disk and inlines it as base64 for you, so you can point a tool at a file you just dragged in without hosting it first (.jpg,.jpeg,.png,.webp,.gif,.bmp,.tif/.tiff,.heic/.heif,.avif; up to 40 MB).
Note: an imagepasted into the chatis not a file path, so it can't be forwarded to the tool — drag in a file, or save the paste and pass its path.
"Use Pedra to virtually stagehttps://example.com/empty-living-room.jpgas a minimalist living room."
"Virtually stage /Users/me/Desktop/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:
- Synchronous by design.Every endpoint blocks and returns the final URL(s) in the response body. Evenpedra_create_videopolls server-side and returns the finishedvideoUrlinline (it can take up to ~10 minutes; the API keeps the connection alive with a heartbeat).
- Errors are tool errors.The API's 4xx responses (insufficient credits, bad image, …) come back as MCP tool errors with a readable message, not crashes.
This server sends the image/video URLs and parameters you pass to thePedra APIto perform the requested edit, authenticated with yourPEDRA_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.
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