placid-mcp-server

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by felores

Community Servers

Generate image and video creatives using Placid.app templates in MCP compatible hosts

What is placid-mcp-server

Placid.app MCP Server

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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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.