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Opencloudcosts Mcp

@x7even

Repository

About 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

Basic information

Category

Cloud & Infrastructure

Transports

stdio

Publisher

x7even

Submitted by

Xin S

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "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"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Comments

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