Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Open-source AI podcast clipper. Turn a long episode into short clips with face tracking and burned-in captions. Drive it from the CLI, a web studio, or your coding agent.
Local-first creative studio with 37 model routes, transparent costs, local archives, and MCP access.
28 plugins and MCP servers for Claude Code — parallel exploration, iterative refinement, binary reverse engineering, structured decision-making, and more.
Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies.
Tool names match exactly what each server exposes. Tool-call output passes through unchanged (text or JSON), so you can pipe, redirect, or parse with jq.
⚠️ ：此项目完全是 vibe coding 产物，代码由 AI 生成，未经严格审查。使用风险自己承担。
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
The local-first knowledge layer for AI development.
MCP server that scrapes public posts from X, LinkedIn and Hacker News in a local browser that is never signed in
This is an example of an application that's exclusively accessible via Model Context Protocol (MCP).
One command. TypeScript Python. Example tools, the Inspector, and tests — all wired up. Or point it at an OpenAPI spec and get
🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama
Agent Skills
AetherViz Master - 互动教育可视化建筑师，将任意教学主题转化为沉浸式3D交互网页
HEY CLI and Agent Skills
High-performance AI coding agent CLI written in Rust with zero unsafe code
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
Generate realistic synthetic security logs for cybersecurity threat hunting training and research.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Powered by , this project orchestrates 14 , each modeled after world-class experts in their domain. They ideate products, make decisions, write code, deploy, and market - without human intervention.
The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.
Tell your coding agent to do real, multi-step work, then Smithers runs it for minutes or days: watch every step live, gate the risky ones behind human approvals, and rewind, fork, or replay any run.
[Documentation] [Quick Start] [简体中文] [Tiếng Việt]
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.