关键词 "data-driven UX" 的搜索结果, 共 24 条, 只显示前 480 条
Model Context Protocol Server to facilitate llms to able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created.
mcp server to generate image via replicate flux schnell
MCP server and client for running Linux commands
Mirror of
A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Tr
A simple MCP server for generating images using Ali Cloud's DashScope API, with tools for task management and local image saving.
MCP server use flux-1-schnell over cloudflare workers AI
MCP server which reads info on Linux Kernel CVES
An end-to-end Model Context Protocol (MCP) solution that streamlines the entire UI/UX design workflow - from gathering inspiration to development handoff. This suite integrates multiple specialized MC
A Model Context Protocol (MCP) server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Supports customizable parameters, image saving, and multiple model o
MCP configuration to connect AI agent to a Linux machine.
awsome kali MCPServers is a set of MCP servers tailored for Kali Linux, designed to empower AI Agents in reverse engineering and security testing. It offers flexible network analysis, target sniffing,
DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion mode
Zonos MCP server modified for Linux and GPU optimizations.
A yara based MCP Server
MCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.
🔥 1Panel provides an intuitive web interface and MCP Server to manage websites, files, containers, databases, and LLMs on a Linux server.
mcp server for cloudflare flux schnell worker api.
RWKV开源发布了 RWKV7-G1 1.5B 推理模型(Reasoning Model)。模型基于 World v3.5 数据集训练,包含更多小说、网页、数学、代码和 reasoning 数据,总数据为 5.16T tokens。其具备其它同尺寸模型不具备的推理能力和任务能力,同时还支持现实世界 100+ 种语言。 在实际测试中,RWKV7-G1 1.5B 模型的推理逻辑性较强,能够完成有难度的
Lovart 全球首个设计 Agent 体验 Lovart 的三个特点: 一、全链路设计和执行,一句话搞定 以前的文生图工具,它们所提供的任务是“生成图片”这一环。 而设计 Agent,则像一位“设计执行官”,覆盖从创意拆解到专业交付的整个视觉流程。 从意图拆解 → 任务链 → 最后成品,一句话全搞定。 单次可以执行上
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