Does pedra-ai/pedra-mcp work with Claude Desktop?

Yes. The repository documents both a Claude Desktop JSON configuration and a bundled `.mcpb` release that prompts for `PEDRA_API_KEY`.

What image inputs does pedra-ai/pedra-mcp accept?

Image and mask inputs can be public HTTPS URLs, `data:` URIs, or absolute local file paths. Local images are read and sent as base64, with a stated 40 MB limit.

Does pedra-ai/pedra-mcp require polling for video jobs?

No. Video creation waits for completion on the server side and returns the finished video URL, although generation may take up to approximately 10 minutes.

Pedra MCP

real-estateimage-editingvideotext-to-speech

Edits real-estate photos and creates property videos, voiceovers, and listings through the Pedra API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Overview

The pedra-ai/pedra-mcp MCP server exposes Pedra's real-estate image, video, voice, and property-management API through MCP tools. It runs over stdio, uses a Pedra API key, and returns final asset URLs from synchronous tool calls; video creation is handled server-side until completion. Image inputs can be public URLs, data URIs, or absolute local file paths. Reach for it when an MCP client needs to enhance listing media, stage or renovate rooms, generate property videos, or manage Pedra properties.

Use cases

Stage empty rooms for property listings

Enhance and correct listing photography

Generate property videos and voiceovers

Remove or blur sensitive objects in images

Track Pedra properties and remaining credits

Key features

Virtual staging, renovation, and room emptying

Photo enhancement and perspective correction

Sky replacement, object removal, and blurring

Property video and voiceover generation

Property and image management tools

Credit lookup and feedback submission

Capabilities & Tool Schemas (20)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Pedra MCP.

pedra_enhance

Improve lighting, color, sharpness

pedra_enhance_and_correct_perspective

Enhance + straighten perspective

pedra_empty_room

Remove all furniture/objects

pedra_furnish

Virtually stage a room

pedra_renovation

Renovate walls/floors/finishes

pedra_edit_via_prompt

Edit from a natural-language prompt

How Pedra MCP works

What pedra-ai/pedra-mcp MCP server does

The pedra-ai/pedra-mcp MCP server connects MCP clients to Pedra's AI real-estate media API. It provides separate tools for common listing workflows: improving lighting and sharpness, correcting perspective, emptying rooms, virtual staging, renovation, prompt-based editing, sky replacement, object removal, and privacy blurring. It also supports property video creation and updates, voiceover script generation, voice synthesis, music and voice-language lookup, and basic property management.

Property management tools can list the account's properties, retrieve a property's image URLs, create a property, and add images by URL. Account tools report the current plan and remaining credits, while the feedback tool accepts a thumbs-up or thumbs-down and can optionally request credit back.

How it works

The pedra-ai/pedra-mcp MCP server is a thin wrapper around the Pedra SDK and maps one MCP tool to each API endpoint. Calls are blocking: image operations return their resulting URL or URLs directly, and video creation waits for the completed video rather than exposing a job ID for client-side polling. Video generation can take up to approximately 10 minutes, while the API connection remains active with a heartbeat.

Most image operations accept an imageUrl and optional parameters. Image, mask, and video-frame inputs may be public HTTPS URLs, data: URIs, or absolute paths to local files. For local files, the server reads and inlines the image as base64. Supported formats include JPG, JPEG, PNG, WebP, GIF, BMP, TIFF, HEIC, and AVIF, with a stated maximum size of 40 MB. An image pasted directly into chat is not automatically treated as a file path; save it or provide a file URL instead.

API errors such as insufficient credits or invalid images are returned as readable MCP tool errors. The server itself does not store data. URLs and parameters supplied to the tools are sent to the Pedra API, whose privacy policy covers data handling, retention, and sharing.

Setup and configuration

The pedra-ai/pedra-mcp MCP server requires a Pedra API key obtained from a Pedra account. Set that credential in the PEDRA_API_KEY environment variable. The published npm package can run without a global install:

bash

PEDRA_API_KEY=your-api-key npx -y @pedra-ai/mcp

For clients that use JSON configuration, set the command to npx, use -y @pedra-ai/mcp as the arguments, and provide PEDRA_API_KEY in the server environment. The documented configuration works with Claude Desktop and Cursor. A bundled .mcpb release is also available for Claude Desktop, where installation prompts for the API key. The server can be configured through other MCP clients as well.

The API key is required for requests to Pedra. Tool-specific input fields and optional parameters are exposed through each MCP tool's schema, so clients can inspect those schemas when constructing calls.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

210

Package downloads in the last 30 days.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

3 views

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Frequently Asked Questions about Pedra MCP

Run it over stdio with `PEDRA_API_KEY=your-api-key npx -y @pedra-ai/mcp`, or configure the same command and environment variable in an MCP client.

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Technical Specs & Signals

CategoryReal Estate

PricingBring your own API key (usage-based cost)

10/11 checks healthy over the last 32d

59Quality signal: Good · 59/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools29/30

Adoption & activity5/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 19d ago via OSV.dev · @pedra-ai/mcp (npm)

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