Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
MCP server for analyzing & generating docs for React code locally
Remote MCP Server that securely connects Enterprise context with your LLM, IDE, or agent platform of choice.
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The whale-tracker-mcp server is a Python-based implementation of the Model Context Protocol (MCP) that integrates with the Whale Alert API.
Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis &...
Exa MCP for web search and web crawling!
Search 284 episodes of Lenny's Podcast transcripts directly from Claude. Get instant access to product wisdom from guests like Shreyas Doshi, Julie Zhuo, Brian Chesky, and hundreds more.
Visual testing tool for MCP servers
An MCP (Model Context Protocol) server implementation for generating images using Replicate's black-forest-labs/flux-schnell model.
aula-mcp er en server der sidder mellem en MCP-klient (LLM) og Aula — et interface, ikke meget mere. Du vælger selv klient (Claude Code, Claude Desktop, ChatGPT, Cursor, Ollama, LM Studio osv.
Model Context Protocol (MCP) servers for the HeroUI design system. Access HeroUI component documentation directly in your AI assistant.
MCP Server for Computer Use in Windows
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!