关键词 "2 1D environments" 的搜索结果， 共 12 条, 只显示前 480 条
MCP Server Boilerplate is a Node.js example that demonstrates how to build an MCP server with a custom tool, including one that loads an environment variable from a configuration file, to integrate se
VRChat MCP OSC provides a bridge between AI assistants and VRChat using the Model Context Protocol (MCP), enabling AI-driven avatar control and interactions in virtual reality environments. By levera
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing p
Swytchcode accelerates API integrations, allowing developers to seamlessly integrate any API using Postman collections or OpenAPI specifications. With Swytchcode, developers can obtain production-read
A Python server implementation for Feishu (Lark) bot that follows the Model Context Protocol (MCP). This server provides a standardized interface for handling automated messaging and context-aware int
A Python server implementation for WeCom (WeChat Work) bot that follows the Model Context Protocol (MCP). This server provides a standardized interface for handling automated messaging and context-awa
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,
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
This is a test repository created by test script of MCP Server for GitHub
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
A universal Playwright MCP server for browser automation in containerized environments
RoboBrain 2.0 是强大的开源具身大脑模型，能统一感知、推理和规划，支持复杂任务的执行。RoboBrain 2.0 包含 7B（轻量级）和 32B（全规模）两个版本，基于异构架构，融合视觉编码器和语言模型，支持多图像、长视频和高分辨率视觉输入，及复杂任务指令和场景图。模型在空间理解、时间建模和长链推理方面表现出色，适用机器人操作、导航和多智能体协作等任务，助力具身智能从实验室走向真实场景
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