Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
A production-ready for seamless integration between Wazuh SIEM and Large Language Models (LLMs).
一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。
A Model Context Protocol (MCP) library for the Zig ecosystem.
This is a simple example of how to use the Model Context Protocol (MCP) with OpenAI's API to create a simple agent acting from a chat context.
guMCP is an open-source collection of Model Context Protocol (MCP) servers that can be run both remotely and locally.
飞书MCP服务器是一个基于Model Context Protocol的服务，提供飞书API集成，使AI模型能够轻松与飞书服务交互。
Draw.io Model Context Protocol (MCP) Browser Extension
This project provides a Model Context Protocol (MCP) server for interacting with the Google Slides API. It allows you to create, read, and modify Google Slides presentations programmatically.
阿里云 MCP Server 是一个强大的云服务集成平台，通过 Model Context Protocol (MCP) 为 AI 应用提供阿里云服务的无缝集成能力。该平台支持数万个阿里云 OpenAPI，让开发者能够轻松地将阿里云的各种服务能力集成到 AI 工作流中。
An MCP (Model Context Protocol) server for Tailscale, enabling detailed queries and operations for devices, DNS, users, invites, keys, webhooks, services, logging, policy validation, and tailnet...
Get your projects MCP (Model Context Protocol) badges
Skill and MCP server for searching and retrieving icons
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!