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  1. Home
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  3. Dreambooth Studio
Dreambooth Studio logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 1:46:03 AM

Dreambooth Studio

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View RepositoryVisit Website
dreamboothphotoboothsimage-generationanalyticsmcp

Connects AI assistants to Dreambooth Studio for booth analytics, project management, image generation, and booth editing.

Quick Install

Automated & IDE Setup

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

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dreambooth-studio": {
      "url": "https://mcp.dreamboothstudio.com/mcp",
      "env": {
        "DREAMBOOTH_API_URL": "YOUR_VALUE_HERE",
        "ALLOWED_HOSTS": "YOUR_VALUE_HERE"
      }
    }
  }
}

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

Install Tool Schemas (20) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

Dreambooth Studio MCP server connects AI assistants to the Dreambooth Studio API for booth operations and account data. It provides read tools for sessions, gallery statistics, projects, revenue, credits, wallet transactions, device status, and documentation, plus tools for creating and editing booths, filters, projects, and frames. The service supports Streamable HTTP and stdio, with account connection handled through a device flow or an incoming OAuth bearer token. Reach for it when an operator needs to inspect or manage Dreambooth Studio photobooths through an MCP-compatible client.

Use cases

β€’Review booth sessions and weekly performance
β€’Check revenue, credits, and wallet transactions
β€’List and inspect Dreambooth Studio projects
β€’Create or update booth configurations
β€’Generate, refine, preview, and save frames

Key features

β€’Session and gallery reporting
β€’Project, revenue, credit, and wallet queries
β€’Booth and booth-draft management
β€’Filter and frame generation workflows
β€’Device-flow and OAuth account access
β€’Streamable HTTP and stdio transports

Capabilities & Tool Schemas (20) ~144 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Dreambooth Studio.

get_sessions

Bearer

get_gallery_stats

Bearer

search_docs

none

list_projects

Bearer

get_project

Bearer

get_revenue_summary

Bearer

How Dreambooth Studio works

What Dreambooth Studio MCP server does

Dreambooth Studio MCP server exposes the Studio API through MCP tools for operators managing photobooths. It can retrieve sessions, gallery statistics, projects, revenue summaries, credit balances, wallet transactions, and booth-related information. It also includes documentation search that does not require an account connection.

The server does not maintain a separate database or duplicate Studio business logic. Each operation delegates to an existing Studio API route, keeping calculations such as revenue summaries in the Studio system. Withdrawals, payout accounts, MFA or step-up flows, subscription token regeneration, and administrative API routes are outside its scope.

How it works

The service is available through Streamable HTTP at https://mcp.dreamboothstudio.com/mcp and can also run over stdio. The repository provides separate development commands for the HTTP and stdio transports, along with build and inspection commands.

Account access is initiated by calling connect_account. That starts the Studio's device flow and returns a Google link for the operator to open. The server polls in the background instead of keeping the tool call open. Device-flow credentials remain in memory and are isolated per MCP session; restarting the service requires accounts to connect again.

Clients that send their own bearer token use the OAuth path. OAuth access tokens expire after one hour, carry approved scopes, and can be revoked. Device-flow tokens can read data but cannot perform connector write operations. The write tools remain visible in the tool list, while an unauthorized call receives the Studio's refusal response.

Setup and configuration

Install dependencies with npm install, copy .env.example to .env, and run npm run dev for Streamable HTTP or npm run dev:stdio for stdio. The HTTP development server uses PORT, defaulting to 8080. Build with npm run build before starting the production process.

Deployment configuration uses DREAMBOOTH_API_URL and ALLOWED_HOSTS. The host allow-list should include every public hostname serving the MCP endpoint, including both a custom domain and any active platform-generated hostname. An empty ALLOWED_HOSTS value disables this protection.

The service is stateless and has no volume or credential store. Leave MCP_DIAGNOSTICS unset in production; setting it to 1 registers the session_info diagnostic tool.

Tools and capabilities

Read-oriented tools include get_sessions, get_gallery_stats, list_projects, get_project, get_revenue_summary, get_credits, and get_wallet_transactions. search_docs is available without authentication. Booth and creative-workflow tools cover create_booth, start_booth, refine_booth, get_booth_draft, update_booth_draft, create_filter, preview_filter, duplicate_project, start_frame, refine_frame, check_generation, and save_frame.

Operations that create or edit Studio resources require the booths:write permission in addition to bearer authentication. Read access alone is sufficient for inspection tools and filter previews.

Limitations and notes

The tool inventory is fixed across connections rather than changing based on whether a bearer token is present. Authentication is checked when protected tools are called. A session that has not connected an account can use only search_docs.

The older device-flow credential lasts for one year, has no scopes, and cannot be revoked. Its access is intentionally restricted so it cannot perform write operations. OAuth provides shorter-lived, scoped credentials instead.

The repository includes smoke checks for stdio and HTTP behavior, including unauthenticated error handling and session isolation. The production service does not store account tokens, so operators must reconnect after a restart when using the device flow.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
3d ago
Most recent push to the default branch.
Tools exposed
20
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Dreambooth Studio

Dreambooth Studio is an MCP server that connects AI assistants to the Dreambooth Studio API. Its main tools retrieve sessions, revenue, credits, projects, gallery statistics, and wallet transactions, while also creating or editing booths, filters, projects, and generated frames for authorized operators.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 7, 2026
9/9 checks healthy over the last 44d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 7, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

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

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” 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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8/27/2026 via OSV.dev Β· https://mcp.dreamboothstudio.com/mcp (npm)

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