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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
Talk to your time tracking. Pull reports, start timers, inspect desktop activity, and turn raw Toggl data into useful recaps from Claude or any MCP-compatible client.
AI-driven React UI effects library — 64 composable animations (cursor, scroll, text, background). Hooks + CSS + Components. CLI & MCP powered.
— automatically discover and configure MCP servers on your machine (remote or local).
Your AI agent doesn't know what's broken in production. This fixes that.
Unofficial Relace MCP client with AI features. Personal project; not affiliated with or endorsed by Relace
- Access MATLAB documentation via matlab://documentation/getting-started URI - Get started guide with examples and usage instructions
Live through COM on Windows, or headless through ezdxf anywhere — one typed contract, two engines.
mail-mcp Production-ready email MCP server for AI agents IMAP + SMTP + EWS + Microsoft Graph API — built in Rust
AI‑powered YouTube uploader—no CLI, no YouTube Studio, and no secrets ever shared with LLMs or third‑party apps and all free of cost!
An MCP Server that provides an interactive Python REPL (Read-Eval-Print Loop) environment.
An MCP server to use with iOS and Android. Seamlessly maps Native screens and WebViews. Multiple parallel devices supported.
An MCP server that lets , , , , and any other MCP client (via OAuth 2.1 or static bearer token) delegate tasks to a local running on your own hardware.
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)