Skip to content

alexpota/cloudscope-mcp

v0.1.3 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 1mo MCP Data & Storage
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

anomaly-detection azure azure-advisor bigquery budget-monitoring claude
+13 more
claude-code cloud-billing cloud-cost cost-management cost-optimization cursor finops gcp gcp-recommender mcp mcp-server model-context-protocol multi-cloud

Summary

AI summary

Four new prompts added for FinOps reporting, waste audit, cost spike investigation, and executive summary.

Full changelog

Prompts

Four prompts are registered on the server, selectable as slash commands in MCP-compatible clients.

| Prompt | Description |
|---|---|
| monthly-cost-review | Monthly FinOps report: spending, period-over-period comparison, anomalies, top resources, budgets, forecast, savings opportunities |
| waste-audit | Idle resources, Azure Advisor recommendations, at-risk budgets, aggregate potential savings |
| cost-spike-investigation | Root-cause analysis for a cost increase. Accepts optional days argument (default 7) |
| executive-summary | Brief non-technical cost summary for leadership |

Tool orchestration

McpServer.instructions now provides the client LLM with guidance on tool usage — including the get_current_date hallucination mitigation pattern and recommended tool pairings for root-cause analysis and
savings prioritization.

Release infrastructure

GitHub Releases now publish to the official MCP Registry automatically via GitHub Actions OIDC. The mcp-publisher binary is version-pinned and SHA-256 verified. No long-lived tokens.

Weekly OSS security release digest.

The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.

No spam, unsubscribe anytime.

Share this release

Track alexpota/cloudscope-mcp

Get notified when new releases ship.

Sign up free

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.

All releases →

Beta — feedback welcome: [email protected]