Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Ragent 是一个面向 Agentic RAG 演进的生产级 Java AI 应用平台，覆盖从文档入库到智能问答的完整链路。
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Next Generation Agentic Proxy for AI Agents and MCP servers
Open-source AI browser agent for web automation: a web browsing agent and computer-use agent in plain English. Browser MCP for Claude Code and Gemini CLI.
punkpeye/awesome-mcp-servers MCP server.
A flexible multi-interface AI agent framework that can interact through various platforms including Telegram, Discord, Twitter, Farcaster, REST API, and MCP.
MCP server and CLI tool for searching and downloading documents from Anna's Archive
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
Secure, audit, and govern every AI API call and MCP tool invocation across your organization — from a single control plane.
Evidence from your and sources (GitHub repos, PRs, npm). One toolset: ripgrep + AST search, trees, precise reads, and LSP — as a or , backed by a for fast, token-efficient results across single files...
MCP server with runtime-level tools for Phoenix development
Instead of relying on one-off scripts generated for a single question, analysts and AI agents can use tested analytical primitives and reusable workflows to inspect customer journeys, explore...
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)