azurefinopscloud-costsinfrastructure
Analyzes Azure infrastructure costs and recommends idle-resource cleanup, rightsizing, and purchasing optimizations.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Not yet automatically verified
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Find idle Azure resources to delete or deallocate
Review rightsizing recommendations for overprovisioned resources
Analyze purchasing model and licensing optimizations
Summarize potential savings across recommendation categories
Scope recommendations to a specific Azure subscription
Key features
Idle and zombie resource recommendations
SKU rightsizing recommendations
Purchasing model and licensing recommendations
Aggregated savings summaries
Optional subscription UUID filtering
Read-only GET requests
Capabilities & Tool Schemas
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server.
Extracted Tool Capabilities
Idle and zombie resource recommendations
SKU rightsizing recommendations
Purchasing model and licensing recommendations
Aggregated savings summaries
Optional subscription UUID filtering
Read-only GET requests
Documentation Overview
@infrawise/mcp-server
Claude Code MCP server for Infrawise Azure FinOps recommendations.
What it provides
Tools exposed to Claude Code:
get_idle_resources— idle/zombie resources to delete or deallocateget_sku_optimizations— rightsizing recommendations for overprovisioned resourcesget_general_recommendations— purchasing model and licensing optimizationsget_savings_summary— aggregated savings totals across all categories
All tools accept an optional subscription_filter (subscription UUID) to scope results.
Quickstart
That's it. setup opens your browser for Azure sign-in, registers the MCP server with Claude Code, and confirms everything is working. Restart Claude Code when it completes.
Prerequisite: You need an active Infrawise account with at least one Azure subscription onboarded. Complete onboarding →
Useful commands
Switching accounts
Delete the cached credentials and re-authenticate:
Local development
Publishing a new version
prepublishOnly runs clean && build automatically. Verify after publishing:
Existing users re-run npx @infrawise/mcp-server@latest setup to pick up the new version — no config clearing or MCP re-registration needed.
Environment variables
| Variable | Default | Purpose |
|---|---|---|
INFRAWISE_API_BASE | https://api.infrawiseai.com/api | Backend base URL |
INFRAWISE_AZURE_CLIENT_ID | 9d7c8230-3c1d-4a81-80cb-98f5cb40d2e7 | Public client app the CLI signs in as |
INFRAWISE_AZURE_API_SCOPE | api://06dc6d06-11f1-4543-bb2c-9c91b263df56/delegated_access | Token scope (the Infrawise API audience) |
INFRAWISE_AZURE_AUTHORITY | https://login.microsoftonline.com/common | MSAL authority |
INFRAWISE_AZURE_TENANT_ID | (unset) | Optional tenant override; builds authority URL automatically |
Security
- Token cache stored at
~/.infrawise/mcp-credentials.json - Written with
0600mode (best effort on Windows) - Read-only server — all calls are GET only
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.
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CategoryCloud Platforms
PricingFree
11/11 checks healthy over the last 32d
48Quality signal: Fair · 48/100How this signal is calculated ▾
Server availabilityNot measured
Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.
Verified ownership10/20
Documentation & tools23/30
Adoption & activity3/15
Community engagement0/10
A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.
Supply-chain signal
No high-severity advisories surfaced by our automated scan.
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Scanned 27d ago via OSV.dev · @infrawise/mcp-server@latest (npm)
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