Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers
A Model Context Protocol (MCP) server that enables you to interact with your GitLab account. Get diffs, analyze merge requests, review code, cherry-pick changes, and more.
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data. This server bridges AI models with your HubSpot account, providing direct access to contacts,...
MCP server for ReportPortal
LaunchDarkly's locally hostable Model Context Protocol (MCP) Server
MCP server for AzerothCore
MCP Server for Instantly v2 API
Comprehensive MCP server for YouTube Data API v3, Analytics API, and Reporting API. 40 tools for channel analytics, video publishing, transcripts, audience insights, SEO discovery, comments, and bulk...
MCP server for ConnectWise Manage (PSA) — tickets, companies, contacts, projects, and time entry tools for AI assistants
MCP server for Canvas LMS with and . Works with Claude Desktop, Cursor, Codex, Windsurf, and 40+ other agents.
Official MCP server for Socialcrawl
A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant).
墨问笔记API的MCP服务器封装，支持在Cursor、Claude Desktop等MCP客户端中操作墨问笔记
Agent Skills
Skills for agents.
Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
The headless rich text editor framework for web artisans.
:warning: — The Windows App Development CLI (winapp CLI) is experimental and in active development. We'd love your feedback! Share your thoughts by creating an issue.
致你忘不掉的那个TA，你们干大模型都是码圣 It's giving rebirth era. Welcome to Digital Life 1.0. 🫶
Independently written prompt templates for building AI coding agents, inspired by patterns observed in Claude Code codebase.
Craft AI-driven interface effortlessly🤖
⭐️⭐️⭐️微服务商城系统 springcloud微服务商城 小程序商城
Powerful AI Assistant in Roam Research
:fire::fire::fire: 强大的低代码动态表单组件，通过 JSON 数据驱动表单渲染，适配移动端，支持可视化设计。提高开发者对表单的开发效率。目前在政务系统、OA系统、ERP系统、电商系统、流程管理等系统中已稳定应用。
Effortlessly compose, extend, and observe every service in real-time for the first time ever.
An agent skill for setting up and improving — the infrastructure that makes AI agents work effectively on your codebase.