Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server that enables LLM agents to talk with IFC (Industry Foundation Classes) files
MeteoSwiss Open Data — Python API, CLI & MCP server · tabular as DataFrames/Parquet, gridded as xarray/Zarr
A vector embedding-based code semantic search tool with MCP server and multi-model integration. Can be used as a pure CLI tool.
MCP server that turns raw sources into an interlinked Obsidian wiki with Claude Code.
A modular Python tool that converts WeChat Official Account (微信公众号) articles into clean Markdown files with locally downloaded images.
— DSGVO, BFSG Barrierefreiheit und Einwilligungs-Widerruf. Auf Basis echter Gesetzestexte via rechtsinformationen.bund.de MCP.
CLI-based tester for verifying that MCP servers work correctly when called directory and by agents
Complete Docker-based AI operations infrastructure: Paperclip, n8n, Supabase, OpenClaw, ruflo, and MCPs
Illustrative estimates. The ~90% is Claude-side token reduction on analysis-heavy tasks — not total cost: Kimi's own subscription still applies.
An MCP server to wrap the OpenAI Codex CLI tool for use with Claude Code.
Agent-operated App Store and monetization ops: metadata, IAPs, subscriptions, RevenueCat, paywalls, ASO, and analytics
Reqable MCP Server is a Dart-based MCP server that communicates with AI tools over stdio and exposes Reqable capabilities through MCP tools.
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)