Cloud FinOps Skill & MCP
Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.
| Endpoint | https://mcp.optimnow.io/mcp (streamable-http) |
|---|---|
| Registry version | 1.45.0 |
| Now | 7 tools · grade D (53) · pin ts_47d0b160978ea27f14cde52a0f36848b · protocol 2025-06-18 |
| First / last listed | 2026-10-26 00:57 UTC / 2026-10-26 00:57 UTC |
| Grade over time | 2026-10-26: D (53), 7 tools |
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Tools: list_references get_reference find_references list_playbooks get_playbook find_playbooks get_live_figures
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 deciding what to
fetch. When the question already names a FinOps domain, phase, persona
or maturity, call ``find_refe params: none |
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`` told you which one
serves the question. Advisory questions (commitment sizing, chargeback
des params: name*, section |
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
tackle first" - anything that maps to FinOps Framework facets (domain,
capability, phase, persona, maturity) - and params: domain, capability, phase, persona, maturity, persona_primary_only |
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
question already names a provider, waste category, or confidence tier,
call ``find_playbooks`` instead.
Each params: none |
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, snapshot sprawl, idle SageMaker
endpoint, ...). It also serves questions about the user's own resources
("which of my X params: name* |
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
account, so it also serves questions about the user's own resources.
Use this for questions like "which VMs are ru params: scope, service, waste_category, confidence |
get_live_figures | Get the current value of a figure a reference quotes with a date.
Use this when a reference quotes a figure from an OptimToken guide
("measured on the 2026-10-25 OptimToken catalogue") and the answer needs
the current value: the Compute Savings Plan or reservation discount, the
gap between a flexible and a locked commitment, the ARM discount against
Intel and AMD, the share of params: guide* |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.