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MCP Servers
An MCP (Model Context Protocol) server for Tailscale, enabling detailed queries and operations for devices, DNS, users, invites, keys, webhooks, services, logging, policy validation, and tailnet...
This is a Model Context Protocol (MCP) server that converts Figma designs to React components. It provides tools for fetching Figma designs and generating React components with TypeScript and...
mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
阿里云 MCP Server 是一个强大的云服务集成平台，通过 Model Context Protocol (MCP) 为 AI 应用提供阿里云服务的无缝集成能力。该平台支持数万个阿里云 OpenAPI，让开发者能够轻松地将阿里云的各种服务能力集成到 AI 工作流中。
Draw.io Model Context Protocol (MCP) Browser Extension
Stardust is a desktop AI agent platform that combines a powerful chat interface with an extensible plugin system.
。在一个桌面应用中同时管理多个 AI 会话，提供结构化对话视图、看板式任务管理、实时状态监控、Agent 编排、工作流自动化和远程控制。
The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge.
Levante is a cross-platform desktop app (Windows, macOS, Linux) that brings powerful AI tools closer to everyone — not just technical users.
Ollama MCP is a tool for connecting Ollama-based language models with external tools and services using the Model Context Protocol (MCP).
Docs • Quickstart • API Reference • Discord
Agent Skills
https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.
Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).
山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作，一站式搞定人物、大纲、场景、剧本全链路
for quasi-experimental designs in Python.