Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Git-backed wiki engine with MCP server — build knowledge that compounds
Junjie.M tool https://github.com/junjiem/dify-plugin-tools-mcp_sse issues
The missing link between AI models and the real‑world web: one API that delivers clean, structured data from any site.
🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more
Local code search for AI coding agents: a CLI and MCP server with hybrid keyword + semantic search and SQL relevance-ranked aggregation over an index in plain files. No accounts, no keys, no server.
Drop a single JAR into Burp, connect Claude Code (or any MCP client), and drive every part of Burp Suite programmatically through AI agents.
Your real Safari, logged in — no Chrome, no heat, no headless.
Connect AI agents directly to Teradata with enterprise security and extensibility.
The Universal MCP Server (Rust) exposes tools for Canva workflows—and —designed for usage in MCP-compatible clients.
Windows Computer Use for AI Agents. Both a tool (22 MCP tools for click, type, screenshot, OCR, UI inspection) and an agent (autonomous mission engine, macro recorder, intent-based discovery, event...
An MCP server that enables LLMs interacting with your network devices
A Figma MCP server — no API key, no rate limits, just a single Go binary.
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!