LottieFiles MCP Server

What does “LottieFiles” MCP Server do?

The LottieFiles MCP Server is a Model Context Protocol (MCP) server designed to facilitate AI assistants’ access to the LottieFiles animation platform. It acts as a bridge, empowering AI-driven development workflows to search, retrieve, and interact with Lottie animations programmatically. By exposing endpoints for searching animations, fetching popular animations, and getting detailed information about specific animations, the server enables developers and AI clients to seamlessly incorporate rich animation content into their applications or design processes. This integration streamlines tasks such as discovering relevant animations, retrieving metadata, and automating creative workflows that involve Lottie animations.

List of Prompts

No explicit prompt templates are mentioned in the repository or documentation.

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List of Resources

• Lottie Animations Index
  Provides access to the searchable index of available Lottie animations from LottieFiles.
• Animation Details
  Exposes detailed information and metadata for individual Lottie animations.
• Popular Animations List
  Offers a curated list of currently trending or popular Lottie animations.

List of Tools

• Search Animations
  Allows querying the LottieFiles database for animations based on keywords and filter parameters like page and limit.
• Get Animation Details
  Fetches detailed information about a specific Lottie animation by its unique identifier.
• Get Popular Animations
  Retrieves a list of currently trending or widely used Lottie animations, with support for pagination.

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Use Cases of this MCP Server

• Animation Search Automation
  Automate the process of finding relevant Lottie animations for design, development, or presentation workflows using keyword-based search.
• Design Asset Integration
  Enable design tools or platforms to directly fetch and embed Lottie animations by ID, streamlining asset integration for designers and developers.
• Trending Content Discovery
  Surface popular or trending Lottie animations to users, enhancing UI/UX by suggesting high-impact visual content.
• Personalized Animation Libraries
  Build custom animation libraries or playlists for products by programmatically collecting animations matching certain criteria.
• Metadata Extraction for Analytics
  Retrieve detailed metadata about Lottie animations for analysis, cataloging, or recommendation systems.

How to set it up

Windsurf

1. Ensure Node.js is installed.
2. Locate your Windsurf configuration file.
3. Add the LottieFiles MCP Server entry to your mcpServers object:

   {
     "mcpServers": {
       "lottiefiles": {
         "command": "npx",
         "args": ["@junmer/mcp-server-lottiefiles@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify setup by connecting from the Windsurf client.

Securing API Keys
Set environment variables in your config:

{
  "mcpServers": {
    "lottiefiles": {
      "command": "npx",
      "args": ["@junmer/mcp-server-lottiefiles@latest"],
      "env": {
        "LOTTIEFILES_API_KEY": "YOUR_SECRET_KEY"
      }
    }
  }
}

Claude

1. Ensure Node.js is available.
2. Open Claude’s configuration file.
3. Insert the LottieFiles MCP Server configuration:

   {
     "mcpServers": {
       "lottiefiles": {
         "command": "npx",
         "args": ["@junmer/mcp-server-lottiefiles@latest"]
       }
     }
   }
   

4. Save changes and restart Claude.
5. Confirm MCP server connectivity in Claude’s interface.

Cursor

1. Install Node.js if not present.
2. Open Cursor’s settings or config file.
3. Add the server to your MCP configuration:

   {
     "mcpServers": {
       "lottiefiles": {
         "command": "npx",
         "args": ["@junmer/mcp-server-lottiefiles@latest"]
       }
     }
   }
   

4. Save and restart Cursor.
5. Check for successful registration in Cursor.

Cline

1. Make sure Node.js is installed.
2. Locate the Cline configuration file.
3. Add configuration for the LottieFiles MCP Server:

   {
     "mcpServers": {
       "lottiefiles": {
         "command": "npx",
         "args": ["@junmer/mcp-server-lottiefiles@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Test the connection via Cline’s MCP section.

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:

{
  "lottiefiles": {
    "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 “lottiefiles” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the tables above, the LottieFiles MCP Server is a focused and well-scoped server for animation retrieval and search, with a solid core of tools and resource exposure. Its lack of prompt templates and advanced MCP features like roots or sampling limits its score for power users, but it is effective for its target use case.

MCP Score