Cloud FinOps Skill & MCP

Last 30 days

Uptime

100%

Response time

262 ms typical, 262 ms slowest 5%

Last check

1 h ago

Next check

in 4 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "cloud-finops-skill-mcp": {
      "type": "http",
      "url": "https://mcp.optimnow.io/mcp"
    }
  }
}

6 tools

• list_references

  See what FinOps guidance is available: billing mechanics, commitment strategy, allocation and chargeback, AI cost management, and per-provider cost handbooks (AWS, Azure, GCP, OCI, Databricks, Snowflake, ...). Use this to discover what the library covers before decid

• get_reference

  Fetch the guidance on one FinOps topic - the billing mechanics, decision rules and worked examples behind a defensible answer - either whole or one section at a time. Use this when you need the actual content of one known reference, after ``list_references`` or `

• find_references

  Find which guidance serves a FinOps question - how to commit, size, allocate, charge back, forecast, or govern cloud and AI spend. Use this for questions like "how should we size Savings Plans", "what should Finance own in chargeback", "what does a Crawl-stage org

• list_playbooks

  See every ready-made runbook for finding and fixing cloud waste: idle, orphaned and overprovisioned resources, egress surprises, schedule blindness and AI/ML inefficiency across AWS, Azure and GCP. Use this to discover which waste patterns have a runbook. When the

• get_playbook

  Fetch the step-by-step runbook for one specific waste pattern: symptoms, the detection queries to run, the fix, and the anti-pattern to avoid. Use this when the user asks how to detect, confirm, or fix one specific named waste pattern (zombie NAT gateway, snapsho

• find_playbooks

  Finds the runbook for a specific cloud waste pattern, filtered by provider, service, waste category or detection confidence. Useful before answering a specific waste or cost-fix question: each runbook includes a tested detection query the user can run in their own

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