Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Run any dockerized MCP Server in a sandboxed container and connect to it remotely
Drop‑in Express middleware and helpers to add secure auth to your Model Context Protocol (MCP) server with Descope. Ship an authenticated /mcp endpoint and register tools in minutes.
Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.
provides a secure and verifiable method to uniquely identify agents through open and decentralized techniques.
Clojure/ClojureScript library for making MCP server and client
⚠️ It has been superseded by — a newer, improved version with additional Blossom file storage support and an expanded tool set.
A local-first MCP bridge that turns web-based AI (ChatGPT, Grok, Gemini) into a supervised worker on your computer. (Optimized for programming and Most similar to CodeX)
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens.
Exposes MCP (Model Context Protocol) server tools as native OpenClaw agent tools.
A collection of MCP (Model Context Protocol) servers for managing and integrating (LLM) various Large Language Model services.
A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language.
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!