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로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

这是一个基于 MCP (Model Context Protocol) 的邮件工具,它能让 AI 模型通过标准化接口访问电子邮件服务。

这是一个**,由六个强大的项目组成,实现从内容生成、图像视频创作、平台操作到AI智能调度的全链路自动化。

* Equal Contribution ✉ Corresponding Author

MCP Python Tutorial

xhs-mcp 提供统一的命令行入口 xhs-mcp,并内置 MCP 服务器子命令。用于小红书(xiaohongshu.com)的 Model Context Protocol(MCP)服务器与 CLI 工具,支持登录、发布、搜索、推荐等自动化能力(基于 Puppeteer)。

Conecte qualquer assistente de IA ao DataJud CNJ e aos 91 tribunais brasileiros - com cálculo de prazos, monitoramento de processos e conformidade com o CPC.

这是一个基于 MCP (Model Context Protocol) 的 SSH 工具,它能让 AI 模型通过标准化接口访问和管理 SSH 连接。

百度网盘 - 闲鱼 MCP 一键发布

A [Model Context Protocol] server that can run any Open Source tool via pkgx.

AI Agent-first JS 逆向 MCP Server:有头 Chrome 调试、断点、网络/WebSocket 分析、Patchright 反检测,可选 CloakBrowser。

MCP Documentation Management Service - A Model Context Protocol implementation for documentation management

- 支持将OpenAPI信息以人机协同方式进行对话式MCP Server生成。 - 在生成MCP Server的过程中,关键决策节点支持人工介入与确认,实现动态配置与实时交互。 - 提升了服务器的生成灵活性与系统可控性,让用户在自动化流程中保留充分的主动权。
Agent Skills

SigNoz is an open-source, OpenTelemetry-native observability platform for your team and their AI agents.

Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

A Claude Code skill that turns PDFs, docs, and codebases into Obsidian study vaults

🔬 Harness Vibe Research with Self-evolving AI Scientists

Resume builder for academics and engineers

My goto template for rust projects, with pre-commit, gh action for CI and cursor rules for vibe coding!

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

The simplest desktop client for OpenClaw 🦞 — bridge your Agent to WeChat, Feishu, Slack & Discord in one click. Works with Claude Code, Codex & any LLM.

A collection of interesting libraries and tools for Avalonia project.

An agent skill for setting up and improving — the infrastructure that makes AI agents work effectively on your codebase.

Xiaomi Miloco

From Chain-of-Thought prompting to OpenAI o1 and DeepSeek-R1 🍓