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Changelog

0.3.0 (2026-04-12)

  • GCP support: Google Cloud Platform cost management via BigQuery billing exports, GCP Recommender, Cloud Asset Inventory, and Budget API
  • Multi-provider architecture: 14 shared tools accept provider parameter with auto-detected default
  • New tools: list_projects, get_cross_project_costs — 16 tools total
  • GroupByKey normalization: Provider-agnostic grouping keys translated internally per provider
  • Linear forecast utility: Client-side cost forecasting for providers without native forecast APIs
  • Provider-aware prompts: 5 guided-workflow prompts accept optional provider argument
  • Dynamic server instructions: MCP instructions reflect configured providers
  • 275 tests across 34 test files

0.2.0 (2026-04-10)

  • Subscription auto-discovery from az login session
  • Cross-subscription cost queries
  • Tag-based cost allocation (get_cost_by_tag)
  • Idle resource detection (unattached disks, orphaned NICs, unused IPs, empty App Service plans)
  • Untagged resource detection
  • list_subscriptions tool
  • Chargeback report prompt
  • 209 tests across 29 test files

0.1.5 (2026-04-09)

  • Five guided-workflow prompts (monthly review, waste audit, spike investigation, executive summary, chargeback)
  • MCP server instructions for tool relationship guidance
  • Improved tool descriptions for Glama directory scores
  • tsup build (77 npm files → 7, ~35KB bundle)

0.1.4 (2026-04-08)

  • Budget monitoring (check_budgets)
  • Cost comparison tool (compare_periods)
  • Anomaly detection with configurable threshold

0.1.3 (2026-04-08)

  • Cost forecast tool
  • Top spending resources tool
  • Recommendation categories (compute, storage, networking)

0.1.2 (2026-04-07)

  • Azure Advisor integration (list_recommendations)
  • Formatted ASCII table output
  • Error handling with withProvider pattern

0.1.1 (2026-04-07)

  • Date validation before API calls
  • Cache with request coalescing
  • Rate limiting with exponential backoff

0.1.0 (2026-04-06)

  • Initial release
  • Azure cost summary by service, resource group, or region
  • Cost anomaly detection
  • Azure Advisor optimization recommendations
  • Cost forecasting
  • Budget monitoring
  • Period-over-period cost comparison
  • Top spending resources
  • Date helper for accurate LLM queries