Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
IFC-Bonsai-MCP is an MCP server that connects AI language models with the Bonsai Blender add-on to read, create, and edit IFC models directly via high-level tool calls.
Agent-driven Adobe After Effects automation. MCP server + CEP plugin enabling Codex/Cursor/Claude Code to drive AE through 30 ae.* tools.
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.
for Google PageSpeed Insights & Chrome UX Report APIs. Analyze, compare, and optimize web performance directly through Claude, Cursor, or any MCP-compatible AI client.
It gives agents a safe, inspectable, token-efficient way to without falling back to brittle UI automation.
Expose 2slides.com tools for MCP clients (e.g., Claude Desktop).
An MCP Server to utilize Lineai's rich software dependency data in your AI programming assistant.
baidu netdisk mcp server
A retrieval layer for AI agents over peer-reviewed papers, books, patents, standards, Wikipedia, Reddit, Telegram, Discord, and YouTube.
MCP remote server for AI Engineer World's Fair 2025
MCP Memory Server with DuckDB backend
MCP server that gives AI agents instant codebase understanding via the Supermodel API. Pre-computed code graphs enable sub-second responses for symbol lookups, call-graph traversal, and...
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.