Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

A model context protocol server for TriliumNext Notes. This server provides tools to interact with your Trilium Notes instance through MCP. You can use this MCP with triliumnext-skills.

A Ruby gem implementation of a Model Context Protocol (MCP) server for Rails projects. This server allows LLMs (Large Language Models) to interact with Rails projects through the Model Context...

The runProcess tool runs processes on the host machine. There are two mutually exclusive ways to invoke it:

A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.

A Model Context Protocol server providing access to Reddit public API for LLMs. This server enables LLMs to interact with Reddit's content, including browsing frontpage posts, accessing subreddit...

MCP Server implementation for Xcode integration

Connect Google Ads API directly to Claude Desktop and other MCP clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

NSE & BSE Indian Stock Market Data MCP Server

Claireon Model Context Protocol server for Unreal Editor automation

A Model Context Protocol server for Excel file manipulation

A Bambu Lab-focused MCP server for controlling Bambu printers, manipulating STL files, and managing end-to-end 3MF print workflows from Claude Desktop, Claude Code, or any MCP-compatible client.

An MCP server to query any Postgres database in natural language.
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.