Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
MCP server for TouchDesigner
现代化资产测绘与漏洞监控平台 (ARL-Next)。经典 ARL 架构重构，聚焦企业资产关联、异步解耦并发调度与原生 MCP 协议集成，容器化开箱部署。
Kubrick Course Hi Dave... Learn to build AI Agents that can understand images, text, audio and videos.
Intelligent token optimization through caching, compression, and smart tooling for Claude Code and Claude Desktop
Open-source, multi-platform harness for AI agents - a native, multi-threaded operator's console (JVM, not Electron) to run Claude Code, Codex, Gemini or OpenCode with a real browser, terminal,...
30+ collectors, real-time alerts, built-in MCP server for AI analysis. Nothing phones home. Your data stays on your server and your machine.
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
A MCP (Model Context Protocol) server for interacting with dbt.
A Model Context Protocol (MCP) server that provides tools for fetching and analyzing Reddit content.
Mapbox Model Context Protocol (MCP) server
This repository contains a set of Model Context Protocol (MCP) servers. Each server lives in its own folder under servers/ and can be used independently.
SemanticOps Rollback mistakes. Test before deploy. Control what AI can change.
Agent Skills
Open-source plugin marketplace for Claude Code by DAIR.AI Academy.
- 前任的新对象是谁 - 她关注了谁 - 谁给她点赞 - 她以前发过什么 - 她和谁有共同好友 - 她的每个细节到底是什么意思
Fusion-Fable is a Claude Code skill that runs a hard question through a pipeline. The same prompt is dispatched to several models in parallel — each answering independently with web search and bash,...
Read the launch post for our optimized SpreadsheetBench skill.
A text search engine that supports mixed Chinese and English fuzzy search
A stateless CLI for web search, code search, library docs, and scraping — one binary, no daemon, no API server to run.
本科毕业论文skill：会把你的项目的源码、数据库、截图和文献，按学校模板与样文风格，工程化地写成整合成可追溯、可续写、可审查的本科毕业论文
Desktop AI assistant powered by Claude API
A CLI tool for building Go applications.
Empirically detect the repetitive defaults a model falls back on, then turn those findings into a reusable instruction file that makes future outputs less generic.
From real materials to reports with a fully autonomous & skill-driven researcher.
Productized companion to our paper (arXiv:2606.32014). See Paper & citation.