关键词 "notebook-like environment" 的搜索结果， 共 15 条, 只显示前 480 条
A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.
The ROS MCP Server is designed to support robots in performing complex tasks and adapting effectively to various environments by providing a set of functions that transform natural language commands,
A secure, isolated environment for exploring Python development with Model Context Protocol (MCP) and Language Server Protocol (LSP)
🌐🔌 An MCP server that exposes real-time sensor data from IoT Realm devices—such as ESP32-based DHT11 clients—to LLMs via the Model Context Protocol. This enables AI agents to access, analyze, and act
an MCP server to expose a data format for translating tasks into environmental actions
BloodHound-MCP is a powerful tool designed to analyze and visualize complex network relationships within Active Directory environments. It helps security professionals identify potential attack paths
Build, evaluate and run General Multi-Agent Assistance with ease
This is a simple MCP Server Framework that enables data to be passed through a structured messaging protocol, allowing seamless communication between clients and servers. It supports efficient data ex
This is a quick start guide that provides the basic building blocks to set up a remote Model Context Protocol (MCP) server using Azure Container Apps. The MCP server is built using Node.js and TypeScr
First Trusted MCP server running on AWS Nitro Enclave Trusted Execution Environment
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your Linode Cloud Platform environment.
A universal Playwright MCP server for browser automation in containerized environments
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game env
DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架，专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本，基于优化文本提示和特征融合，提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令，生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成，降低使用门槛。 Dre
FaceAge是一款AI人脸识别扫描模型，它通过数万张患者照片和公共图像数据库进行训练，能够精准判断个人衰老迹象。 模型描述 FaceAge 深度学习流程包括两个阶段：面部定位和提取阶段，以及带有输出线性回归器的特征嵌入阶段，可提供生物年龄的连续估计。 第一阶段通过在照片中定位人脸并在其周围定义一个边界框来预处理输入数据。然后对图像进行裁剪、调整大小，并在所有 RGB 通道上对像
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