About
LottieFiles Server enables searching and retrieving vector animations from the LottieFiles platform. It provides programmatic access to LottieFiles' extensive library of JSON-based animations for integration into applications. Key features: - Search Lottie animations by keywords with pagination support - Retrieve detailed metadata about specific animations using their unique identifier - Discover trending content with the popular animations list - Access lightweight, scalable vector animations suitable for web, mobile, and desktop interfaces
README
LottieFiles MCP Server
[](https://smithery.ai/server/mcp-server-lottiefiles)A Model Context Protocol (MCP) server for searching and retrieving Lottie animations from LottieFiles.
Features
Installation
Installing via Smithery
To install LottieFiles Server for Claude Desktop automatically via Smithery:
npx -y smithery install mcp-server-lottiefiles --client claude
Manual Installation
npm install
Usage
1. Start the server:
npm start
2. Connect using an MCP client
API Tools
Search Animations
Search for Lottie animations by keywords.
Parameters:
query: Search keywordspage: Page number (optional, default: 1)limit: Items per page (optional, default: 20)Get Animation Details
Get detailed information about a specific Lottie animation.
Parameters:
id: Unique identifier of the animationGet Popular Animations
Get a list of currently popular Lottie animations.
Parameters:
page: Page number (optional, default: 1)limit: Items per page (optional, default: 20)Development
# Build
npm run build
License
MIT
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support