12 件の#finops MCP サーバー & クライアント

Openops

openops-cloud

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

AWS EC2 Pricing MCP Server

trilogy-group

An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking

Pricing Data: SaaS, AI & LLM Cost API | ComparEdge

comparedge

Free REST API and MCP server for verified SaaS, AI, and LLM pricing across 490+ tools. OpenAPI 3.1, no API key.

A comprehensive Model Context Protocol (MCP) server for the Cloudability API, providing advanced cost management, Kubernetes container analytics, and budget forecasting capabilities

Thinkneo Control Plane

thinkneo-ai

Enterprise AI Control Plane — governance layer between your AI applications and providers. Spend tracking, runtime guardrails, policy enforcement, budget limits, compliance readiness (SOC2/GDPR/HIPAA), and real-time provider health. Works with Claude, ChatGPT, Copilot, and any MC

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

Anchor AI FinOps to real, live cloud pricing. Multi-cloud MCP server for AWS, GCP & Azure — public list prices and enterprise negotiated rates (Reserved Instances, Savings Plans, CUDs, EDPs). No credentials needed to get started.

Kubeopt

kubeopt

Kubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE directly from Claude.

Mcp Aws Cost Anomaly

archimedes-market

Curated by Archimedes Market. AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service, account, or tag. Pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. → archimedes.m

Burnwatch detects every paid service in your project, tracks spend across 14 AI-native tools (Anthropic, OpenAI, Vercel, Supabase, Stripe, Scrapfly, Browserbase, and more), and exposes real-time cost data via MCP tools — so any LLM can factor budget into its recommendations. Four