Climate Risk Quantification And Scoring

via “risk scoring and consequence severity classification”

MCP server for AI agents to evaluate consequences before destructive actions. Analyzes Terraform plans, shell commands, and MCP tool calls.

Unique: Implements quantitative risk scoring for infrastructure and command consequences as part of MCP server, enabling agents to make risk-aware decisions. Uses multi-factor scoring model considering impact scope, reversibility, and resource criticality.

vs others: Provides automated risk scoring integrated into agent workflows, whereas manual risk assessment is subjective and time-consuming; recourse-cli enables consistent, quantitative risk evaluation.

via “climate risk quantification and scenario modeling”