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Placid Image Generator

by felores

Placid Image Generator creates dynamic images from templates using Placid's API—ideal for social media posts and marketi

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

github stars

14

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Requires Placid.app API tokenSupports both images and videos

best for

  • / Content creators automating social media visuals
  • / Marketing teams generating branded materials
  • / Developers building image generation workflows

capabilities

  • / List available Placid templates with filtering
  • / Generate images from templates with dynamic content
  • / Generate videos from templates with dynamic content
  • / Browse template previews and metadata

what it does

Connects to Placid.app's API to generate dynamic images and videos from templates. Useful for creating social media posts and marketing materials programmatically.

about

Placid Image Generator is a community-built MCP server published by felores that provides AI assistants with tools and capabilities via the Model Context Protocol. Placid Image Generator creates dynamic images from templates using Placid's API—ideal for social media posts and marketi It is categorized under other, developer tools.

how to install

You can install Placid Image Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Placid Image Generator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Placid.app MCP Server

smithery badge

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.

<a href="https://glama.ai/mcp/servers/xeklsydon0"> <img width="380" height="200" src="https://glama.ai/mcp/servers/xeklsydon0/badge" /> </a>

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

FAQ

What is the Placid Image Generator MCP server?
Placid Image Generator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Placid Image Generator?
This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.449 reviews
  • Diya Ghosh· Dec 28, 2024

    Strong directory entry: Placid Image Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Liam Okafor· Dec 28, 2024

    I recommend Placid Image Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ganesh Mohane· Dec 8, 2024

    We wired Placid Image Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Noor Mehta· Dec 4, 2024

    Placid Image Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Chen Okafor· Dec 4, 2024

    Useful MCP listing: Placid Image Generator is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Noor Menon· Dec 4, 2024

    We evaluated Placid Image Generator against two servers with overlapping tools; this profile had the clearer scope statement.

  • Rahul Santra· Nov 27, 2024

    Placid Image Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Dev Diallo· Nov 23, 2024

    I recommend Placid Image Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Liam Mensah· Nov 23, 2024

    Placid Image Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Chen Mensah· Nov 19, 2024

    Placid Image Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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