Placid.app MCP Server

What does “Placid.app” MCP Server do?

The Placid.app MCP Server is an implementation of the Model Context Protocol (MCP) designed to integrate with the Placid.app API. This server acts as a bridge, allowing AI assistants and clients to list available design templates and generate image or video creatives programmatically. By exposing Placid’s powerful templating and media generation capabilities as MCP tools, it enables streamlined creative automation within AI-driven development workflows. Developers can use this server to automate marketing media creation, dynamically populate templates with content, and manage design assets—all while leveraging secure API token management and robust error handling. The server provides an efficient way to incorporate visual and video asset creation directly into LLM-powered environments.

List of Prompts

No explicit prompt templates are mentioned in the available documentation or code.

List of Resources

No explicit resources are described in the documentation or code.

List of Tools

• placid_list_templates
  Lists available Placid templates, with options to filter by collection ID, custom reference data, or tags. Returns template details including title, ID, preview image, available layers, and tags.

Other tools (such as for generating images/videos) are implied by the features but not explicitly documented in the README or visible code excerpts.

Use Cases of this MCP Server

• Automated Marketing Content Creation
  Developers can automate the creation of branded images and videos for campaigns by programmatically filling in template details and assets.
• Dynamic Social Media Asset Generation
  Quickly generate shareable social media visuals using up-to-date content and template libraries, streamlining content pipelines.
• Personalized Creative Production
  Create personalized videos or images for users by merging user data with design templates, ideal for email campaigns or product recommendations.
• Template Management and Exploration
  List and explore available Placid templates, filter by tags or collections, and select the best fit for a given creative task.
• Integration in LLM-powered Design Tools
  Leverage the server as a backend for AI assistants or LLM-powered apps that need to generate and suggest creative assets on-the-fly.

How to set it up

Windsurf

1. Ensure Node.js (v18+) is installed on your system.
2. Open the Windsurf configuration file.
3. Add the Placid MCP Server with the following JSON snippet:

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

4. Save the configuration and restart Windsurf.
5. Verify the server is running and accessible.

Claude

1. Install Node.js (v18+) if not already installed.
2. Use the recommended install command:

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

3. Or, manually update the Claude Desktop settings with:

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

4. Save settings and restart Claude.
5. Confirm the Placid MCP Server is available.

Cursor

1. Make sure Node.js (v18+) is installed.
2. Open Cursor’s configuration file.
3. Insert the following into the mcpServers object:

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

4. Save and restart Cursor.
5. Check server connectivity.

Cline

1. Install Node.js (v18+) if needed.
2. Edit the Cline settings file to include:

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

3. Save the file and restart Cline.
4. Ensure the Placid MCP Server is registered.

Securing API Keys

Always use environment variables to store API keys securely in your configuration:

{
  "mcpServers": {
    "placid": {
      "command": "npx",
      "args": ["@felores/placid-mcp-server@latest"],
      "env": {
        "PLACID_API_TOKEN": "your-api-token"
      },
      "inputs": {
        // other configuration options if needed
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "placid": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “placid” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the available information, the Placid.app MCP server offers a focused, practical tool for creative automation but lacks in-depth documentation on resources, prompt templates, and advanced MCP features like sampling or roots.

Our opinion

This MCP server is well-suited for teams needing creative automation and template management with LLM integration. Its documentation is clear for setup but lacks detail on prompts, resources, and advanced MCP features. Overall, it’s functional and reliable for its intended use case, but not as feature-rich as some alternatives.

MCP Score

Rating: 6/10
The project is practical and open source, with a clear setup process and at least one working tool, but it would benefit from more comprehensive documentation and advanced MCP features.