Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Figma MCP build with Rust, server with full read/write access via plugin (no REST API, no rate limits, 73 tools)
MCP server for Web3 protocol documentation — EIPs, ERCs, BIPs, SIMDs, Cosmos ADRs, Polkadot RFCs, contract registry
A FastMCP server implementation for controlling Apple Music (formerly iTunes) on macOS through AppleScript commands.
Git-backed wiki engine with MCP server — build knowledge that compounds
An MCP server that validates, auto-fixes, and scaffolds TwinCAT 3 XML files. Connect it to any LLM client to give your AI assistant reliable, deterministic TwinCAT code quality tooling — structural...
MCP tools for Novyx governed actions, shared memory, audit, rollback, and evidence workflows.
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。
WaveSpeed MCP server — run any model on the live catalog (image, video, audio, 3D) with schema introspection, @path file upload, and price quotes
🎨 AI-powered UI/UX design intelligence - 1519+ curated design resources through MCP | React, Vue, Next.js, Flutter & more
This project is a Python-based CapCut processing tool that offers the following core functionalities:
Welcome to the Kanban MCP project! 🎉 This project integrates Planka kanban boards with Cursor's Machine Control Protocol (MCP) to enable AI assistants like Claude to manage your kanban boards.
📚 MCP server for academic paper search and download.
Agent Skills
每个 Skill 都是一个可安装的思维操作系统，不是语录合集。 安装后可在支持 Agent Skills 的 AI 助手中，以该人物的视角分析问题、审视决策、提供反馈。
Claude Code plugins and agent skills for AWS development — IaC(CDK/SST), serverless, cost ops, and Bedrock AgentCore
一个面向大模型实习、AI 求职和 Codex Skill 工作流的 evidence-bound resume toolkit：不只是把简历写好听，而是让每一行都能扛住面试追问。
Installable Agent Skills for creating and managing reversible themes across supported Chromium/Electron AI desktop apps, including OpenAI Codex and Tencent WorkBuddy.
Bitbucket CLI with gh-like ergonomics
A Skill for creating clipshot
A Skill Library for Automated Machine Learning
Bring your Entire context to your agents with cross-agent skills.
tell your agent to run uvx repren@latest --help and follow the instructions to install repren as a skill. Once installed, it uses repren automatically for bulk refactors and renames. See Agent Use.
公众号 / 小红书 / B站 / 知乎： 空格的键盘 ｜ [email protected]
AMD Skills provide agents with knowledge, scripts, and conventions for working with AMD hardware and software.
Let your AI agent find, compare, install, and report outcomes for the right reusable skill automatically.