placid-mcp-server
by felores
Generate image and video creatives using Placid.app templates in MCP compatible hosts
What is placid-mcp-server
Placid.app MCP Server
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
- Install Node.js (version 18 or higher) and npm from nodejs.org
- 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
- Log in to your Placid.app account
- Go to Settings > API
- Click on "Create API Token"
- Give your token a name (e.g., "MCP Server")
- Copy the generated token
- 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 IDcustom_data
(optional): Filter by custom reference datatags
(optional): Array of tags to filter templates by
Response
Returns an array of templates, each containing:
uuid
: Unique identifier for the templatetitle
: Template namethumbnail
: Preview image URL (if available)layers
: Array of available layers with their names and typestags
: 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 uselayers
(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" } }
- For video layers:
audio
(optional): URL to an mp3 audio fileaudio_duration
(optional): Set to 'auto' to trim audio to video lengthaudio_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 uselayers
(required): Object containing dynamic content for template layers- For text layers:
{ "layerName": { "text": "Your content" } }
- For image layers:
{ "layerName": { "image": "https://image-url.com" } }
- For text layers:
Response
Returns an object containing:
status
: "finished" when completeimage_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.
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