SuperAPI AI Directory

cloudsealed-mcp

Rule-based cloud cost anomaly detection and architecture risk scoring (single points of failure, coupling, scalability gaps) with rule-by-rule breakdowns.

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About this tool

Purpose

cloudsealed-mcp targets two directions: cloud cost and architectural risk. On one hand, it detects cloud cost anomalies based on rules; on the other hand, it scores architectural risk, focusing on issues such as single points of failure, coupling, and scalability gaps. Its output includes a rule-by-rule breakdown, making it easy to pinpoint specific triggering items.

Main Capabilities

  • Rule-based cloud cost anomaly detection.
  • Architectural risk scoring, covering single points of failure, coupling, and scalability gaps.
  • Rule-by-rule breakdowns.

How to Use

This tool is provided in MCP form, and the project address is https://github.com/cloudsealed/cloudsealed-mcp。具体安装命令、配置方式与调用步骤暂未提供。

Applicable Scenarios

Suitable for scenarios that require rule-based detection of cloud cost anomalies, as well as scoring and item-by-item review of architectural risk (single points of failure, coupling, scalability).

Limitations

The current materials do not explain the supported cloud platforms, the number and content of rules, the details of the scoring algorithm, the integration method, the pricing model, or the actual results. The above information is not yet provided.