Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Go-MCP is a powerful Go(Golang) version of the MCP SDK that implements the Model Context Protocol (MCP) to facilitate seamless communication between external systems and AI applications.
A production-ready Claude Code setup for Ruby on Rails development: , (including the SDD kit), , (11 path-scoped + 3 always-on), , and .
The safest way to make REST calls in C# with an MCP Generator
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MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
The official GitHub Copilot plugins collection ✨
Discover Exceptional MCP Servers
ApeRAG: Production-ready GraphRAG with multi-modal indexing, AI agents, MCP support, and scalable K8s deployment
A Model Context Protocol server built with Express.js that provides cryptographic tools including key pair generation, shared secret derivation, and message encryption/decryption.
Python boilerplate for creating AI agents, MCP servers, API microservices and monolith services. All in one!
EasyMCP is usable but in beta. Please report any issues you encounter.
Cesium AI Integrations is a collection of reference integrations, experiments, and patterns that connect the Cesium ecosystem with AI systems such as LLMs, retrieval pipelines, and agent workflows.
Agent Skills
Multi-agent team orchestration skill for Claude Code.
Accounts are free, with a 100 MB storage quota and rate limits sized for agent workloads.
Browser automation agents forget everything between runs. Same site, same page structure to figure out, every single time. Wasted time, wasted tokens.
A Meta-Skill for Private-First Distribution of Agentics (Skills, Agents, and Prompts) across your Agents, Devices, and Teams.
A Claude Code skill for generating Mermaid diagrams. Supports 23 diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and more.
Crew44 turns the AI agents you already run — Claude Code, Codex, Gemini, Cursor, and more — into a coordinated team.
LLM Wiki 是一种用 LLM 构建个人知识库的方法论。与传统 RAG（每次查询从头检索）不同，LLM 会**，知识随每次导入和查询不断积累，形成复利效应。
输入一个行业，帮你看清钱、权力和机会；输入一家公司，先确认投资或求职目的，再判断它是否值得买、值得去。 🔒 — 所有结构化金融数据（行情/财报/估值/一致预期/研报/资金流向等）均来自腾讯自选股官方数据接口，与微信「腾讯微证券」小程序、腾讯自选股 APP 同源。A 股/港股覆盖深度尤其突出。行业与宏观数据辅以权威一手材料交叉验证，每份报告逐条标注信源等级（A/B/C）。
AutoClaw is a hyper-lightweight AI agent designed to live inside Docker containers. Unlike heavy, GUI-dependent agents, AutoClaw is built for headless, massive-scale concurrency.
*This video was generated by this pipeline — Vietnamese TTS + HyperFrames + GSAP animations, no manual editing.*
Started from a PyMol plugin, towards a comprehensive molecular design assistant.
Production-ready patterns for React Native development, packaged as a Claude Code plugin. Maintained by Software Mansion.