This release includes 1 security fix for security teams reviewing exposed deployments.
Topics
+13 more
Affected surfaces
Summary
AI summaryGuided FinOps prompts now generate TL;DR‑leading, decision‑ready reports and Azure error handling adds transient‑retry coverage for AbortError with stderr diagnostics.
Changes in this release
| Type | Severity | Summary | CVE |
|---|---|---|---|
| Feature | Medium |
Adds guided FinOps workflow prompts with TL;DR-leading, decision-ready reports and explicit tool ordering. Adds guided FinOps workflow prompts with TL;DR-leading, decision-ready reports and explicit tool ordering. Source: llm_adapter@2026-05-29 Confidence: high |
— |
| Dependency | Low |
Batch updates dependencies qs, protobufjs, @protobufjs/utf8 for security and maintenance. Batch updates dependencies qs, protobufjs, @protobufjs/utf8 for security and maintenance. Source: llm_adapter@2026-05-29 Confidence: high |
— |
| Bugfix | Medium |
Adds Azure error handling with transient‑retry coverage for AbortError and stderr diagnostics. Adds Azure error handling with transient‑retry coverage for AbortError and stderr diagnostics. Source: llm_adapter@2026-05-29 Confidence: low |
— |
Full changelog
Highlights: Guided FinOps prompts now produce
TL;DR-leading, decision-ready reports with explicit step-by-step tool ordering. Azure error handling adds transient-retry coverage (AbortError) and stderr diagnostics for intermittent failures. Bundles the Dependabot security batch (qs,protobufjs,@protobufjs/utf8).
What's Changed
- chore(deps): batch dependency updates (security + maintenance) by @alexpota in https://github.com/alexpota/cloudscope-mcp/pull/22
- feat: guided FinOps workflow prompts + Azure retry hardening by @alexpota in https://github.com/alexpota/cloudscope-mcp/pull/27
Full Changelog: https://github.com/alexpota/cloudscope-mcp/compare/v0.3.2...v0.3.3
Security Fixes
- Dependabot security batch updates: qs, protobufjs, @protobufjs/utf8
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About alexpota/cloudscope-mcp
Azure cloud cost management — spending analysis, forecasts, anomaly detection, budgets, optimization recommendations, idle resource detection, tag-based cost allocation, and cross-subscription queries through natural language.
Related context
Beta — feedback welcome: [email protected]