Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
mcp tools for your favorite agent - be the best guide you can be
Model Context Protocol (MCP) server for controlled interaction with local console applications and remote SSH sessions, including output monitoring, error detection, and long-running workflows.
Learn how to implement MCP client with SwiftUI and Anthropic API
Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.
A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.
This project contains a .NET web app implementation of a Model Context Protocol (MCP) server. The application is designed to be deployed to Azure App Service.
This project demonstrates the implementation of Model Context Protocol (MCP) for both local and remote server configurations using stdio and HTTP protocols.
MCP-Dandan is an integrated monitoring service that observes MCP (Model Context Protocol) communications and detects security threats in real time.
This plugin integrates the Model Context Protocol (MCP) with ElizaOS, allowing agents to connect to multiple MCP servers and use their resources, prompts, and tools.
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).
is a Model Context Protocol (MCP) server that enhances Claude Code with task tracking, syntax validation, long-term memory, and intelligent context management.
A Model Context Protocol (MCP) server for interacting with the Amazon Selling Partner API. This server provides tools and resources for accessing Amazon SP-API functionality through a standardized...
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!