About Cloud Finops AI Agents
Cloud Finops AI Agents is an MCP server in the Healthcare category: production-grade Cloud FinOps AI control plane that continuously monitors cloud spend, detects cost anomalies, generates optimization actions, and enforces governance policies across AWS, GCP, and Azure.
Install
git clone https://github.com/Moiz-Ali-Moomin/mcp-cloud-finops-ai-agentsThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (12)
aggregate_finops(providers, days, project_id)Combined view across multiple providers (e.g. `"gcp,aws"`)
Parameters not published.
ask_finops(question, provider, project_id)**RAG semantic search** — natural language Q&A over historical data
Parameters not published.
cache_clear(confirm)Flush all cached responses
Parameters not published.
cache_info()Redis/file cache stats — backend, entries, memory
Parameters not published.
configure_project(project_id)Set active GCP project for all subsequent calls
Parameters not published.
db_stats()PostgreSQL row counts for all tables
Parameters not published.
get_billing_costs(provider, days, project_id, force_refresh)Fast billing costs — Redis cached, PostgreSQL persisted, RAG indexed
Parameters not published.
get_cost_history(provider, project_id, limit)Query past snapshots from PostgreSQL — no cloud API call
Parameters not published.
get_infrastructure(provider, project_id, force_refresh)Cloud resources — VMs, disks, DBs, buckets
Parameters not published.
get_top_services_db(provider, project_id, limit)Accumulated top services from PostgreSQL across all snapshots
Parameters not published.
rag_store_info()ChromaDB vector store stats — chunks stored, persist dir
Parameters not published.
run_finops_intelligence(provider, days, project_id, force_refresh)Full analysis — billing + infra combined
Parameters not published.
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