Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Arthas MCP Server is an MCP-based diagnostic toolkit for Java applications, designed for LLM integration. It integrates with Alibaba Arthas so AI assistants can analyze and diagnose Java apps.
Query OpenEvidence from Claude Code, Codex CLI, Antigravity CLI, Claude Desktop, Cursor, Cline, Continue, and any MCP client — authenticated through your own logged-in browser tab. No API key.
MCP server for querying package ecosystem data from ecosyste.ms.
Website · Docs · Dashboard · Changelog · X · LinkedIn
mcp server to run scripts on adobe illustrator
OCTAVE protocol - structured AI communication with 3-20x token reduction. MCP server with lenient-to-canonical pipeline and schema validation.
WordPress block-level CRUD MCP server — path-based mutations, safety guards, preference scoring
支持ida headless 多文件分析
An MCP Server that provides an interactive Python REPL (Read-Eval-Print Loop) environment.
MCP server that teaches AI models to generate interactive visualizations — charts, diagrams, mockups, and more.
Agent-driven Adobe After Effects automation. MCP server + CEP plugin enabling Codex/Cursor/Claude Code to drive AE through 30 ae.* tools.
Zero-dependency browser automation CLI. 70+ commands, 10 test assertions, smart commands (click/fill by text — no LLM needed). MCP server for AI agents with 500x fewer tokens.
Agent Skills
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
An open, local-first visual prompt archive with two installable Agent Skills:
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
HEY CLI and Agent Skills
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.
Web UI · REST API · CLI · 40+ models · 11+ databases
An open standard for shared agent learning. Agents persist, share, and query collective knowledge so they stop rediscovering the same failures independently.
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
pip install python-office 自动化办公专用库
for Apple (.aimodel, iOS 27 / macOS 27): every model here is downloadable, gated against the original model before it ships, and carries the recipe that produced it in models/ /recipe.
⚡️🎉A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs