Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
This project is a Python-based CapCut processing tool that offers the following core functionalities:
基于 SunnyNet 中间件和 SunnyNetTools 抓包工具扩展的 MCP Server
"Reduce system lag by 99%, eliminate loading times, and cut token costs by 90%."
MCP 支持两种通信传输方法：STDIO（标准输入/输出）或 SSE（服务器推送事件），两者都使用 JSON-RPC 2.0 进行消息格式化。STDIO 用于本地集成，而 SSE 用于基于网络的通信。
A FastMCP server implementation for controlling Apple Music (formerly iTunes) on macOS through AppleScript commands.
Payments MCP is an MCP server & companion wallet app that combines wallets, onramps, and payments via x402 into a single solution for agentic commerce.
Wavelet-based multi-resolution context management for LLMs via MCP.
AI assistants are powerful, but they struggle with Kubernetes because:
A Model-Context-Protocol (MCP) server that lets Claude (or any MCP-compatible LLM) interact with your Obsidian vault through the community plugin – written in and runnable with .
Issue tracking for the agentic coding era. One binary. One SQLite database (plus an attachments dir). MCP built in.
An opinionated Jira MCP server built from years of real-world software development experience.
An MCP App for playing and inspecting local audio files in an MCP host.
Agent Skills
A Claude Code skill that scans Solidity codebases for security vulnerabilities by referencing 36 unique vulnerability types sourced from smart-contract-vulnerabilities.
是为 Claude Code、Trae 等 AI 客户端设计的专业代码安全审计 Skill。采用白盒静态分析方法论，通过五阶段标准化审计协议，系统性发现和验证源代码中的安全漏洞。
A Claude skill for producing self-contained HTML artifacts instead of markdown when the task warrants it.
Orchestrate Claude Code sessions as managed background processes from any OpenClaw channel.
🌐 LangSkills — Evidence-Backed Skills for AI Agents
Install complete Claude Code infrastructure in 30 seconds with automatic framework detection and skill auto-activation.
— Automatically sync your API modules, endpoints, Docker topology, SQL queries, permissions, and Swagger spec into a beautiful interactive HTML dashboard.
Step-by-step causal inference — method selection, assumptions, and robustness checks
Think Better injects structured decision frameworks directly into your AI prompts.
中英文学术文本润色与人性化Skill，用于去除 AI 生成的痕迹，同时严格保持事实准确性。
A production-ready library of and for Claude Code — covering thinking frameworks, research, writing, design, data/ML, corporate finance, game theory, fantasy baseball, an evolutionary 10-agent FIFA...
用于把课程当作可验证、可迭代的教学产品：先定义任务与来源，再规划、生成、质检并发布 Markdown/HTML 课程。它提供六类正文写法、课程评价量规与无外部依赖的确定性检查器。