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 working TrueNAS Core MCP Server
Powerfull Telegram MCP for Claude Desktop to scrape and analyze Telegram content.
Enhanced FastMCP implementation of the Things MCP server for Claude and Windsurf
DeFi agent definitions JSON API + MCP - Production-ready agents for Web3, crypto trading, portfolio management, and blockchain automation. MCP compatible.
An MCP Server to use SQLBI DAX Formatter with AI agents
An MCP (Model Context Protocol) server that provides access to Astro ASO (App Store Optimization) data for LLMs.
minimalistic MCP server written in bash script
RAG Skill and MCP for AI agents for codebase indexing and memory
An MCP server to extraxt/search text from pdf
已全面支持NT架构，微信MCP，打造您的专属提醒助手
An MCP (Model Context Protocol) aggregator that allows you to combine multiple MCP servers into a single interface. The code is mostly AI-generated.
A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude
Agent Skills
The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.
is an API-first Ruby web framework that combines the developer experience of Rails with fiber-based concurrency.
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。
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upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
A collection of Pi Coding Agent customized instances. Why? To showcase what it looks like to hedge against the leader in the agentic coding market, Claude Code.
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SkillsBench evaluates how well skills work and how effective agents are at using them.
Website • Getting Started • Documentation • Community
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
An interactive five-chapter night walk through a Kyoto mountain temple, rendered live in Three.js.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.