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Albaker-Group/cloudprice-mcp

Albaker-Group/cloudprice-mcp

MCP server that compares on-demand VM pricing across AWS, Azure, and GCP in real time
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add cloudprice-mcp -- npx -y cloudprice-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · Albaker-Group/cloudprice-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Albaker-Group/cloudprice-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

cloudprice-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**The FinOps MCP server.** Gives Claude, GitHub Copilot, Cursor, Windsurf, Cline, Continue, Zed — or any MCP-compatible AI — structured pricing data and analysis primitives across **AWS, Azure, GCP, and OCI**. AI clients use cloudprice-mcp to compute Reserved Instance break-even, multi-cloud workload TCO, exit-cost migration analyses, snapshot cost modeling, and egress arbitrage — the kind of FinOps decisions that normally live in three browser tabs and a half-built spreadsheet.
**25 tools** covering compute, block storage, object storage, managed Postgres, **egress** (internet + inter-region with OCI's 10 TB free tier surfaced explicitly), Multi-AZ workloads, snapshots with realistic incremental modeling, Reserved Instance / Savings Plan discounts, FinOps decision suite (migration, commitment, TCO, egress arbitrage), **multi-cloud spot pricing** with eviction tradeoffs, **multi-cloud price history** (the only public weekly-refreshed dataset of its kind), a **stateless cost drift sentinel** for scheduled agents, **multi-cloud carbon footprint** ($ AND kg CO2e on the same query), **multi-cloud GPU pricing** (T4 / A10 / L4 / L40S / V100 / A100 / H100 across all 4 clouds), **cross-provider LLM token pricing** (Claude / GPT / Gemini / Llama / Mistral / DeepSeek across Anthropic / OpenAI / Bedrock / Vertex / Azure OpenAI), **statistical price-anomaly detection** over the weekly snapshot archive (z-score + percent-change, auto-selected by dataset density), and **CFO-grade FinOps decision report generation** (markdown reports with executive summary, cost table, carbon, audit trail, honest gaps). OCI Always Free tier (4 OCPU compute, 20 GB object storage, 10 TB egress) surfaced as $0 line items where it applies.
**One-line install configures every AI client you have:** pip install cloudprice-mcp && cloudprice-mcp setup — auto-detects Claude Desktop, GitHub Copilot Agent Mode, Cursor, Windsurf, Cline, Continue.dev, and Zed, then asks Y/N before writing each config.
What does FinOps look like with cloudprice-mcp?
Real questions teams actually ask. Paste any of these into Claude / Copilot / Cursor with cloudprice-mcp loaded:
> ***"I have 6× t3.2xlarge running on AWS. Compare the 3-year total cost on-demand vs 1-year Savings Plan vs 3-year RI partial upfront. What's the break-even month?"***
> → AI calls compare_workload, pulls list-price baseline, layers AWS's published RI rates, returns dollar break-even. ~7-month payback typical.
> ***"I'm thinking about offloading 5 TB of cold-tier object storage from AWS S3 to a cheaper provider. Compare archive-tier cost across all 4 clouds, factor in AWS exit egress, and tell me the payback period."***
> → AI calls compare_object_storage + compare_egress, computes one-time exit cost vs ongoing savings. Often surfaces "don't move — AWS Glacier Deep Archive is already tied for cheapest".
> ***"At 50 TB/month internet egress, where am I cheapest? Show the 3-year savings of moving."***
> → compare_egress → OCI ~$340/mo, AWS/Azure/GCP ~$4,000/mo. The 12× difference is OCI's 10 TB free tier — a real moat for content/CDN workloads.
> ***"Size a 3-tier SaaS workload: 8 web (4/16), 12 app (8/32), 4 DB (16/64), 5 TB shared SSD, 50 TB HDD bulk, 10 TB/month egress. Compare full-stack monthly cost across all 4 clouds with multi-AZ and 1-year commitment."***
> → AI chains compare_workload + compare_egress, applies multi-AZ multiplier (×2 compute) + commitment discount.
What you get back: dollar numbers traceable to a public catalog, AI-explained tradeoffs, payback periods, and the kind of "don't do that" recommendation that kills bad migrations before they happen. **No console-clicking. No tab-switching between three pricing calculators. No FinOps spreadsheet that goes stale the moment a new SKU drops.**
---
Install
**Recommended (auto-config):**
Then fully restart whichever clients were configured. **10 tools appear** in each. Done.
**Trust spectrum:**
| Command | When to use |
|---|---|
| cloudprice-mcp setup | Default — detects every installed client, shows the plan, asks Y/N once |
| cloudprice-mcp setup --yes | Skip prompt (CI / scripts) |
| cloudprice-mcp setup --client copilot | Configure a specific client (repeatable: --client copilot --client cursor) |
| cloudprice-mcp setup --all | Configure every known client even if not detected |
来源
awesome · https://github.com/Albaker-Group/cloudprice-mcp
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