# LottieFiles

> Use this tool when you need to search and retrieve Lottie animations within a conversation interface, solving the problem of accessing animated content without leaving the workflow. It takes keywords and prompts as inputs and returns relevant animation details and popular animations as outputs. Ideal for use cases requiring dynamic animated content, such as interactive stories or explanatory visuals.

Canonical page: https://skillsregistry.net/skills/lottiefiles  
JSON: https://api.skillsregistry.net/v1/skills/lottiefiles

## Description

LottieFiles MCP Server provides a bridge between AI assistants and the LottieFiles API, enabling search and retrieval of Lottie animations. Built with TypeScript and the Model Context Protocol SDK, it offers tools for searching animations by keywords, retrieving animation details, and accessing popular animations. The server implements resource handling for popular animations and prompt capabilities to guide interactions, making it valuable for workflows requiring animated content without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lottiefiles)
- **Repository:** <https://github.com/junmer/mcp-server-lottiefiles>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lottiefiles"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lottiefiles` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lottiefiles/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt