MCP server
by felores
Placid Image Generator creates dynamic images from templates using Placid's API—ideal for social media posts and marketi
Connects to Placid.app's API to generate dynamic images and videos from templates. Useful for creating social media posts and marketing materials programmatically.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Placid Image Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Placid Image Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Placid Image Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Placid Image Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: Placid Image Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Placid Image Generator against two servers with overlapping tools; this profile had the clearer scope statement.
Placid Image Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Placid Image Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Placid Image Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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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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>
node --version
npm --version
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
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"
}
}
}
}
# Run in development mode with hot reload
npm run dev
# Run tests
npm test
Lists available Placid templates with filtering options. Each template includes its title, ID, preview image URL, available layers, and tags.
collection_id (optional): Filter templates by collection IDcustom_data (optional): Filter by custom reference datatags (optional): Array of tags to filter templates byReturns 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 tagsGenerate 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.
template_id (required): UUID of the template to uselayers (required): Object containing dynamic content for template layers
{ "layerName": { "video": "https://video-url.com" } }{ "layerName": { "image": "https://image-url.com" } }{ "layerName": { "text": "Your content" } }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')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){
"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"
}
Generate static images by combining Placid templates with dynamic content like text and images.
template_id (required): UUID of the template to uselayers (required): Object containing dynamic content for template layers
{ "layerName": { "text": "Your content" } }{ "layerName": { "image": "https://image-url.com" } }Returns an object containing:
status: "finished" when completeimage_url: URL to download the generated image{
"template_id": "template-uuid",
"layers": {
"headline": { "text": "Welcome to My App" },
"background": { "image": "https://example.com/bg.jpg" }
}
}
For more detailed information about the Placid API, visit the Placid API Documentation.
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.