Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Build powerful, scalable, and secure Model Context Protocol (MCP) applications with ease. MCP Plexus is a Python framework built on the robust jlowin/fastmcp (FastMCP 2.
An MCP (Model Context Protocol) server implementation for Listmonk, providing programmatic access to newsletter and mailing list management functionality.
A collection of MCP servers for mainland China services. 支持 MCP 的国内服务一览。
本地 AI Agent 的统一管理中心。 添加 Agent 后，用户可在这里实现： - 一键启动 / 停止，实时查看日志 - 内嵌 Web UI 与交互式终端 - 用自然语言指挥所有 Agent - 一键生成临时公网分享链接
is a modular library for building Model Context Protocol (MCP) servers using NestJS. It provides decorators, modules, and integration patterns to expose MCP resources, tools, and prompts in a...
A fully featured C# implementation of Anthropic's Model Context Protocol (MCP)
This repository contains an extension of Azure Functions to enable support for Model Context Protocol (MCP).
In the rapidly evolving world of web development, the integration of AI assistants with UI component libraries has become increasingly important.
A comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database. This server provides access to over 110 million chemical compounds with extensive molecular...
Ollama MCP is a tool for connecting Ollama-based language models with external tools and services using the Model Context Protocol (MCP).
A collection of Model Context Protocol (MCP) servers for integrating with various IT service management and remote monitoring platforms.
mcp-appium-visual is an AI-powered mobile automation platform with Model Context Protocol (MCP) integration.
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!