Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Coding-worker MCP for Codex Desktop. Codex plans, delegates, and reviews; DeepSeek V4 does the expensive code reading, editing, and checking through Claude Code.
- 功能集大成：集成市面已有项目的大部分功能，还会继续维护根据issue添加功能 - 依赖极少：只需要一个最新的FastMCP2.0，不需要复杂的uv及特定版本的python - 兼容性强：支持所有MCP功能的大模型助手，无需科学上网配置复杂的依赖和环境，成功率极高 - 代码极简：市面项目大量采用嵌套代码生成工具，可读性极差。本项目浓缩到单文件，mcp.
BountyLens MCP server — connect Claude Code to your Hunter Tracker
An extension of MCP for SillyTavern. A possible solution of https://github.com/SillyTavern/SillyTavern/issues/3335
locklens 是一个基于 audit-ci 的 lockfile 审计工具，支持三种运行模式：
Your Obsidian vault already contains your best thinking. Obsidian Hybrid Search makes that thinking easier to find, reuse, and bring into AI-assisted work.
mcp - client 项目旨在把本地的mcp-server通过flask暴露出来，用户自建内网穿透，实现coze/dify/fastgpt等平台与本地资源进行交互。
MCP server for Agentset, an open-source platform for Retrieval-Augmented Generation (RAG). Designed for developers who want to build intelligent, document-based applications quickly and efficiently.
基于MCP技术的微信聊天记录获取和消息发送功能的服务器，使用pywechat工具实现微信自动化操作。
把小米 MiMo 全模态能力(对话/图像/视频/TTS/声音克隆)封装成 stdio MCP Server,Claude Code 与 Codex 可直接调用
The agent never holds a kubeconfig. Every write is policy-checked, human-approved, and traced.
comprehensive Discord selfbot MCP server using discord.py-self
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)