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Placid Image Generator

FreeStale (514d)

Integrates with Placid's API to generate dynamic images from templates for tasks like social media posts and marketing materials.

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About

Integrates with Placid's API to generate dynamic images from templates for tasks like social media posts and marketing materials.

README

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An MCP server implementation for integrating with Placid.app's API. This server provides tools for listing templates and generating images and videos through the Model Context Protocol.

Features

  • List available Placid templates with filtering options
  • Generate images and videos using templates and dynamic content
  • Secure API token management
  • Error handling and validation
  • Type-safe implementation

Requirements: Node.js

  1. Install Node.js (version 18 or higher) and npm from nodejs.org
  2. Verify installation:
    node --version
    npm --version
    

Installation

Quick Start (Recommended)

The easiest way to get started is using Smithery, which will automatically configure everything for you:

npx -y @smithery/cli install @felores/placid-mcp-server --client claude

Manual Configuration

If you prefer to configure manually, add this to your Claude Desktop or Cline settings:

{
  "mcpServers": {
    "placid": {
      "command": "npx",
      "args": ["@felores/placid-mcp-server"],
      "env": {
        "PLACID_API_TOKEN": "your-api-token"
      }
    }
  }
}

Getting Your Placid API Token

  1. Log in to your Placid.app account
  2. Go to Settings > API
  3. Click on "Create API Token"
  4. Give your token a name (e.g., "MCP Server")
  5. Copy the generated token
  6. Add the token to your configuration as shown above

Development

# Run in development mode with hot reload
npm run dev

# Run tests
npm test

Tools

placid_list_templates

Lists available Placid templates with filtering options. Each template includes its title, ID, preview image URL, available layers, and tags.

Parameters

  • collection_id (optional): Filter templates by collection ID
  • custom_data (optional): Filter by custom reference data
  • tags (optional): Array of tags to filter templates by

Response

Returns an array of templates, each containing:

  • uuid: Unique identifier for the template
  • title: Template name
  • thumbnail: Preview image URL (if available)
  • layers: Array of available layers with their names and types
  • tags: Array of template tags

placid_generate_video

Generate videos by combining Placid templates with dynamic content like videos, images, and text. For longer videos (>60 seconds processing time), you'll receive a job ID to check status in your Placid dashboard.

Parameters

  • template_id (required): UUID of the template to use
  • layers (required): Object containing dynamic content for template layers
    • For video layers: { "layerName": { "video": "https://video-url.com" } }
    • For image layers: { "layerName": { "image": "https://image-url.com" } }
    • For text layers: { "layerName": { "text": "Your content" } }
  • audio (optional): URL to an mp3 audio file
  • audio_duration (optional): Set to 'auto' to trim audio to video length
  • audio_trim_start (optional): Timestamp of trim start point (e.g. '00:00:45' or '00:00:45.25')
  • audio_trim_end (optional): Timestamp of trim end point (e.g. '00:00:55' or '00:00:55.25')

Response

Returns an object containing:

  • status: Current status ("finished", "queued", or "error")
  • video_url: URL to download the generated video (when status is "finished")
  • job_id: ID for checking status in Placid dashboard (for longer videos)

Example Usage for LLM models

{
  "template_id": "template-uuid",
  "layers": {
    "MEDIA": { "video": "https://example.com/video.mp4" },
    "PHOTO": { "image": "https://example.com/photo.jpg" },
    "LOGO": { "image": "https://example.com/logo.png" },
    "HEADLINE": { "text": "My Video Title" }
  },
  "audio": "https://example.com/background.mp3",
  "audio_duration": "auto"
}

placid_generate_image

Generate static images by combining Placid templates with dynamic content like text and images.

Parameters

  • template_id (required): UUID of the template to use
  • layers (required): Object containing dynamic content for template layers
    • For text layers: { "layerName": { "text": "Your content" } }
    • For image layers: { "layerName": { "image": "https://image-url.com" } }

Response

Returns an object containing:

  • status: "finished" when complete
  • image_url: URL to download the generated image

Example Usage for LLM models

{
  "template_id": "template-uuid",
  "layers": {
    "headline": { "text": "Welcome to My App" },
    "background": { "image": "https://example.com/bg.jpg" }
  }
}

Documentation

For more detailed information about the Placid API, visit the Placid API Documentation.

License

MIT

from github.com/felores/placid-mcp-server

Install Placid Image Generator in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install placid-image-generator

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add placid-image-generator --env PLACID_API_TOKEN="" -- npx -y @felores/placid-mcp-server

Step-by-step: how to install Placid Image Generator

FAQ

Is Placid Image Generator MCP free?

Yes, Placid Image Generator MCP is free — one-click install via Unyly at no cost.

Does Placid Image Generator need an API key?

Yes, it requires environment variables: PLACID_API_TOKEN. Unyly injects them into the config during install.

Is Placid Image Generator hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Placid Image Generator in Claude Desktop, Claude Code or Cursor?

Open Placid Image Generator on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

Changes

Versions and requested access over time.

  • New version published

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