cloud_cost_ri_optimizer

Active

declared in 0.2.0

Analyzes AWS and Azure cloud pricing data alongside RIPE regional demand trends to generate Reserved Instance purchase recommendations for CTOs. Inputs include target cloud provider, instance family, region, and desired commitment term. Outputs include cost savings percentage, optimal RI quantity, and regional demand insights. Ideal for reducing cloud spend with data-driven decisions. Keywords: cloud cost optimization, reserved instances, AWS pricing, Azure pricing, RIPE demand trends.

Parameters schema

{
  "type": "object",
  "required": [
    "cloud_provider",
    "instance_family",
    "region"
  ],
  "properties": {
    "term": {
      "enum": [
        "1-year",
        "3-year"
      ],
      "type": "string"
    },
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "region": {
      "type": "string"
    },
    "utilization": {
      "type": "number",
      "maximum": 100,
      "minimum": 0
    },
    "cloud_provider": {
      "enum": [
        "aws",
        "azure"
      ],
      "type": "string"
    },
    "instance_family": {
      "type": "string"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

2/7 registries

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