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
A production-ready Model Context Protocol (MCP) server providing comprehensive search capabilities through SearchAPI.io.
A robust MCP (Model Context Protocol) server providing comprehensive integration with Things3, allowing you to create, manage, and search tasks and projects through the MCP protocol.
Gives Claude the ability to remember your conversations and learn from them over time.
An MCP (Model Context Protocol) server that provides PDF manipulation tools. This server allows LLMs to perform operations like merging PDFs and extracting pages through the Model Context Protocol.
This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API.
An MCP (Model Context Protocol) server that brings Superdesign - an open source AI design agent by @jasonzhou1993 and @jackjack_eth - to Claude Code as native tools.
A Model Context Protocol (MCP) server that provides for game hacking through Frida. Enables AI assistants and automation tools to perform memory scanning, value modification, pattern matching,...
A Model Context Protocol (MCP) server that connects AI assistants to SemaphoreUI - enabling natural language control of Ansible automation.
Model Context Protocol (MCP) server that lets MCP clients control and inspect DaVinci Resolve (including Fusion) through tools and resources.
An MCP (Model Context Protocol) server for structured, iterative reasoning. CRASH helps AI assistants break down complex problems into trackable steps with confidence tracking, revision support, and...
HexDocs MCP is a project that provides semantic search capabilities for Hex package documentation, designed specifically for AI applications. It consists of two main components:
An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. Its core design rule: .
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!