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
Python MCP Server for Kestra — you can use it as a tool in Kestra's AI Agents
One of the strange design decisions Anthropic made was depriving Claude of timestamps for messages sent by the user in claude.ai or current time in general. Poor Claude can't tell what time it is!
newsmcp.io • integrations • REST API
Local-first AI canvas and timeline. Any MCP agent. Open-source alternative to Higgsfield.
Self-hosted MCP server for docs, code search, and conversational sources
Give an AI agent hands-on control of Blender: build geometry, apply materials, render, and check that a mesh is printable — 98 tools over the Model Context Protocol.
Connect AI assistants to your terminal with full control — 36 MCP tools including SFTP support
Essential random number generation utilities from the Python standard library, including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list...
A production-ready iOS automation MCP server built with FastMCP 2.0, featuring clean modular architecture with complete platform segregation.
MCP server for Taiwan's largest job platform — search jobs, browse companies, and apply, all from Claude.
High Performance MCP server + client for Windows and macOS computer control built in Rust. Screenshot, mouse, keyboard, clipboard, and app management — all in-process via Rust NAPI.
MCP OCR module using macOS Vision framework
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)