Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A powerful Model Context Protocol (MCP) server that provides access to the Spotify Web API. ArtistLens enables seamless interaction with Spotify's music catalog, including searching for tracks,...
This is a model context protocol (MCP) server that Fivetran users can clone, configure, and run on their own environments.
bgm.tv MCP Server
Companion example for the Spring AI MCP Intro blog post
Servidor MCP para integrar modelos de linguagem com a Evolution API
MCP server for scheduling and running AI prompts, HTTP/webhook requests, and shell commands
A powerful Model Context Protocol (MCP) interface for controlling Philips Hue smart lighting systems. Enable AI assistants like Claude to control your lights using natural language.
A Model Context Protocol (MCP) server that provides seamless integration with Weblate translation management platform.
A complete Model Context Protocol (MCP) server that provides comprehensive integration with the Productboard API. More than 40+ tools.
A Gmail MCP server
Firefox MCP
BeeMCP: an unofficial Model Context Protocol (MCP) server that connects your Bee wearable lifelogger to AI via the Model Context Protocol
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!