Opencloudcosts Mcp

Name: Opencloudcosts Mcp
Author: x7even

@x7even

关于 Opencloudcosts Mcp

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.

#cloud #costs #aws #azure #gcp #cost-optimization #finops #ai-tools #cloud-pricing #cloudcost #compare #price

基本信息

分类

云与基础设施

传输方式

stdio

发布者

x7even

提交者

Xin S

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "cloudcost": {
      "command": "opencloudcosts",
      "env": {
        "OCC_GCP_API_KEY": "your-gcp-api-key",
        "AWS_ACCESS_KEY_ID": "your-aws-key-id",
        "AWS_SECRET_ACCESS_KEY": "your-aws-secret",
        "OCC_AWS_ENABLE_COST_EXPLORER": "true",
        "OCC_GCP_BILLING_ACCOUNT_ID": "012345-567890-ABCDEF"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Opencloudcosts Mcp?

Opencloudcosts Mcp is an MCP server that gives AI assistants live, structured access to AWS, GCP, and Azure pricing via 16 tools. It replaces static training data with real-time provider API calls, enabling accurate, account-specific cost answers for multi-cloud workloads.

How to use Opencloudcosts Mcp?

Install via PyPI or download a GitHub release binary, configure the required environment variables for credential-based access (e.g., OCC_GCP_API_KEY, OCC_AWS_ENABLE_COST_EXPLORER), and connect the server to your MCP-capable AI assistant. The model then calls any of the 16 tools to retrieve pricing, compare clouds, or estimate unit economics.

Key features of Opencloudcosts Mcp

16 MCP tools for pricing, FinOps, discovery, and cache management
Live pricing from AWS, GCP, and Azure provider APIs (not training data)
Multi-cloud BOM comparison with 8 concurrent provider calls
Multi-region fan-out with up to 32 goroutines
Effective/contracted rate support (RI, SP, EDP, CUD) where credentials are provided
HTTP service mode with bearer auth, rate limiting, and Kubernetes-ready probes

Use cases of Opencloudcosts Mcp

Compare a full multi-resource workload across AWS, GCP, and Azure simultaneously
Find the cheapest region for a given instance type across all available regions
Estimate unit economics (cost per user, per request) for a planned architecture
Retrieve post-discount effective rates from Reserved Instances or Savings Plans
Get a structured bill of materials (BOM) estimate on-demand vs. committed terms

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An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.

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