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

Full documentation is available at buildkite.com/docs/apis/mcp-server.

Levante is a cross-platform desktop app (Windows, macOS, Linux) that brings powerful AI tools closer to everyone — not just technical users.

Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.

An MCP (Model Context Protocol) server for interacting with the Thermomix Cookidoo platform, built with fastmcp.

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

Learn how to implement MCP client with SwiftUI and Anthropic API

Get your projects MCP (Model Context Protocol) badges

Looking for the Python version? Check out Saiku.py.

A comprehensive Model Context Protocol (MCP) server for interacting with the Zendesk API. This server provides tools and resources for managing Zendesk Support, Talk, Chat, and Guide products.

This repository contains sample MCP servers with rich interactive UI widgets that render inside Microsoft 365 Copilot.

A Model Context Protocol (MCP) server that provides seamless integration with OpenAI's GPT-5 API through Claude Code.

这是一个基于MCP (Model Context Protocol)的智能信息获取服务器,为AI助手系统提供强大的搜索能力和面向LLM优化的网页内容理解功能。通过多引擎搜索和智能内容提取,帮助AI系统高效获取和理解互联网信息,将网页内容转换为最适合LLM处理的格式。
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程,致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍,更通过结构化整理与实践引导,深入理解“智能体”(Agent)在现代 AI 系统中的核心作用,掌握构建自主、协作、推理型 AI 应用的关键方法。

橙皮书 (Orange Book) Series · by HuaShu (花叔)