Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
A Model Context Protocol server and target-native installer for governed Spec-Driven Development (SDD) in Claude Code, Codex, and Oh My Pi (OMP).
A universal plugin framework for development tools that enables seamless browser-server communication and MCP (Model Context Protocol) integration with AI/LLM systems.
A comprehensive stdio MCP (Model Context Protocol) server for SEO APIs. This server allows LLMs (Large Language Models) to interact with DataForSEO API functions and other SEO tools.
ABAP MCP - Model Context Protocol - Server SDK
Autonomous multi-agent AI system with document processing, web automation, and code execution powered by LLM agents and MCP servers
is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, Model Context Protocol (MCP), Reasoning models, vector databases, and more.
A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application...
Automated security scanner for Model Context Protocol servers that detects RCE, path traversal, prompt injection, and protocol vulnerabilities.
is a plug-and-play server that lets any Large Language Model (LLM) interact with Blender in real time using structured JSON commands over a TCP socket.
This Guidance demonstrates how to build AI-powered development workflows using Amazon Bedrock AgentCore and the Model Context Protocol (MCP).
MCP is a command-line tool and local UI for discovering, installing and managing Model Context Protocol servers.
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!