aws-finops-mcp-server and cloud-cost-mcp
The "cloud-cost-mcp" project likely serves as a foundational or more generic Model Context Protocol server for cloud pricing, whereas "aws-finops-mcp-server" is a specialized, more fully featured implementation built specifically for AWS FinOps capabilities within an AI assistant context, potentially leveraging or extending the concepts found in the former.
About aws-finops-mcp-server
ravikiranvm/aws-finops-mcp-server
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.
Exposes AWS Cost Explorer and Budget APIs through two primary tools—`get_cost` for granular cost queries across services/tags/time ranges, and `run_finops_audit` for detecting infrastructure waste (stopped instances, unattached volumes, orphaned IPs)—while supporting multi-profile and multi-region queries via existing AWS CLI credentials. Implements the MCP stdio transport pattern, integrating natively with Claude Desktop and Amazon Q CLI as MCP clients, requiring only read-only IAM permissions (ce:GetCostAndUsage, budgets:ViewBudget, ec2:Describe*) with all credential handling delegated to local AWS CLI profiles.
About cloud-cost-mcp
jasonwilbur/cloud-cost-mcp
Model Context Protocol server for Cloud Infrastructure pricing information
Aggregates 2,700+ instance types from public APIs (instances.vantage.sh, Azure Retail Prices API, Oracle Cloud Price List API) to enable real-time multi-cloud pricing comparisons without requiring API keys. Exposes tools for compute/storage/egress/Kubernetes cost analysis, workload calculators with preset templates, and migration ROI estimation—all queryable through natural language via Claude. Highlights provider-specific advantages like OCI's 10TB/month free egress and free Kubernetes control planes for architecture decision-making.
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