By chaandannn
Query and analyze cloud costs across AWS, Azure, GCP, and Kubernetes using natural language inside Claude. Detect anomalies, get rightsizing recommendations, and generate pull requests for cost optimization — all with read-only analysis and human-approved remediation.
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npx claudepluginhub chaandannn/finopsmcp --plugin nableExpert FinOps guidance for cloud, AI, SaaS, and data-platform spend. Reference files spanning AWS (incl. SageMaker operational FinOps and GPU instance rightsizing), Azure, GCP, Anthropic, Bedrock, Azure OpenAI, Vertex AI, Databricks, Microsoft Fabric, Snowflake, OCI, AI coding tools, FinOps Framework 2024+2026, GreenOps (AWS Sustainability Console, CSRD engagement framing), self-hosted vs managed AI inference decisioning, anomaly management, allocation and showback, chargeback (incl. Finance and accounting prerequisites), onboarding workloads (migration-time cost hygiene + M&A), Kubernetes (cross-cluster EKS/GKE/AKS discipline), waste-detection playbooks (seven-category taxonomy backed by OptimNow's WasteLine appliance) plus RAG-friendly named-pattern playbooks across AWS, Azure, GCP and cross-cloud (incl. SageMaker idle endpoint, notebook auto-shutdown, MME consolidation, oversized GPU, multi-GPU underutilization, MIG candidate, GPU for CPU-bound workload, outdated GPU generation), SaaS asset management, and ITAM. Open source, model-agnostic, refreshed monthly.
Optimize cloud costs and generate cost reports
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
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