mcp-aws-cost-anomaly

mcp-aws-cost-anomaly

AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.

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MCP AWS Cost Anomaly

AWS Cost Explorer plus Anomaly Detection exposed as MCP tools. Lets an agent surface unexpected spend, pull cost breakdowns by service, account, or tag, and fetch forecasts and savings recommendations without any write capability against the AWS account.

Tools

  • list_anomalies — recent cost anomalies from ce:GetAnomalies with severity and root-cause hints
  • get_cost_explorer — cost-and-usage breakdown by dimension (service, account, region, tag) over a time window
  • forecast_cost — 30/60/90-day cost forecast with upper and lower bounds
  • monthly_breakdown — month-over-month spend with delta highlights
  • savings_recommendations — Compute Optimizer and Trusted Advisor recommendations
  • credit_utilization — remaining AWS credits, expiration dates, recent draw

Read-only enforcement

At startup, the server resolves the calling identity (STS GetCallerIdentity) and lists attached policies. If any policy contains an Action matching write verbs (Create*, Delete*, Modify*, Put*, Update*, Run*) on any AWS service, the server refuses to boot. The recommended IAM role attaches only:

  • arn:aws:iam::aws:policy/AWSBillingReadOnlyAccess
  • ce:GetAnomalies, ce:GetCostForecast, ce:GetSavingsPlansUtilization if missing from the managed policy

Quick start

pip install mcp-aws-cost-anomaly
export AWS_ACCESS_KEY_ID="..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"
mcp-aws-cost-anomaly serve

Typical agent workflow

Agent: "Why was last month's AWS bill 22% higher than the month before?"
↓
1. monthly_breakdown → confirms the delta
2. get_cost_explorer(group_by="SERVICE") → shows DynamoDB jumped 4x
3. list_anomalies → root cause flagged on a specific table
4. forecast_cost → projected impact if pattern continues

License

MIT.

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