搜索结果

Shopify Storefront MCP Server

Remote MCP Server on Cloudflare

Shopify MCP Proxy & Mock Server (ShopifyMCPMockShop)

A Shopify MCP Server built to interact with Mock.shop

Shopify Admin GraphQL MCP Server

Zed Content Server Shopify Dev MCP Server

Shopify MCP Server

MCP server for Shopify api, usable on mcp clients such as Anthropic's Claude and Cursor IDE

Shopify Dev MCP Server

Shopify.dev MCP server

cursor_agents

use mcp server to add a team of experts into the agent flow

Shopify MCP Server for Claude Desktop

A Shopify MCP Server

Shopify MCP Server

Brand-to-Theme MCP Server

Servidor MCP para convertir PDFs de identidad de marca en temas de Shopify

Shopify MCP Server

Swytchcode MCP server

Swytchcode accelerates API integrations, allowing developers to seamlessly integrate any API using Postman collections or OpenAPI specifications. With Swytchcode, developers can obtain production-read

Shopify MCP Server

MCP Server for Shopify API, enabling interaction with store data through GraphQL API. This server provides tools for managing products, customers, orders, and more.

Shopify MCP Server

Mirror of

Shopify MCP Server

Mirror of

Shopify MCP Server

Mirror of

Shopify MCP Server

Shopify MCP Server for Claude

Shopify MCP server

TailorKit MCP

TailorKit MCP is a powerful product customization framework for e-commerce that enables merchants to create interactive personalization experiences. Features template management, layer control, and Sh

NLWeb

微软发布了名为 “NLWeb” 的开源项目，旨在简化创建网站的自然语言对话界面，使任何网站都能轻松转变为 AI 驱动的应用程序。 NLWeb 定位为 “智能体 Web 时代的 HTML”，支持自定义模型与数据交互，旨在帮助开发者轻松将网站转化为支持自然语言交互的 AI 应用，可提供 “类似 ChatGPT 的聊天界面”。 NLWeb 开源地址：https://github.com/micr

Path

Path is a team of more than 300+ image-editing experts and graphic designers who provide professional Photoshop services to e-commerce businesses, product photographers, and small and medium-sized bus

dots.llm1

小红书hi lab（Humane Intelligence Lab，人文智能实验室）团队首次开源文本大模型 dots.llm1。 dots.llm1是一个中等规模的Mixture of Experts (MoE)文本大模型，在较小激活量下取得了不错的效果。该模型充分融合了团队在数据处理和模型训练效率方面的技术积累，并借鉴了社区关于 MoE 的最新开源成果。hi lab团队开源了所有模型和必要的训练