Wave Guard
MCP Server
Detect anomalies in any data type using advanced wave physics simulation without the need for a separate training phase. Identify outliers in metrics, text, or logs instantly by providing a few norma…
工具数
安装说明
本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。
最后核验
2026/5/17 23:59
运行时
Node.js
快速接入
先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。
命令预览
npx -y smithery mcp add emergentphysicslab/waveguard
目录标签
目录标签
接入字段
传输方式(transport,传输协议)
HTTP
鉴权方式(authType,认证方式)
token
运行时(runtime,运行环境)
Node.js
权限和风险
接入前请确认传输方式、认证方式和部署位置,并根据实际工具能力限制访问范围。
不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。
仍需确认:category
来源信息
继续浏览同类 MCP
上一个 MCP
Watsonx Visualization MCP Server
Provides automated data visualization and analysis tools that intelligently select from over 40 chart types based on data structure and patterns. It enables users to generate statistical insights, interactive dashboards, and professional reports in HTML, PNG, and Word formats.
下一个 MCP
Waveguardclient
An MCP server that exposes GPU-accelerated anomaly detection to AI assistants via the Model Context Protocol. Provides two MCP tools: waveguard_scan (send training + test data in one call, returns per-sample anomaly scores and top explanatory features) and waveguard_health (check API and GPU status). Works on time series, JSON, numbers, text, and images — fully stateless.