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Analyze Azure Data Factory costs, detect waste, and recommend optimizations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ADF Cost Intelligence MCP" yet — see the docs or source repo.
Analyze Azure Data Factory pipeline run and pricing data for the last 30 days. Identify the 10 most expensive pipelines, explain the main cost drivers, and provide actionable cost reduction recommendations.
A list of expensive pipelines, cost breakdown analysis, and prioritized optimization recommendations.
Review ADF run metadata to identify tasks with excessive retries, idle runs, inefficient scheduling, or oversized resource usage, and summarize potential waste.
A summary of waste patterns, affected tasks, and practical remediation recommendations.
Based on current Azure Data Factory usage, generate a team-facing cost optimization report including a current-state overview, anomalies, savings opportunities, and recommended next steps.
A structured cost report that helps the team assess issues and drive optimization actions.
Estimate GPU needs, training costs, inference spend, and AI infrastructure TCO.
Parse multi-cloud IaC and generate real-time cost estimates and comparisons.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.
Give AI real-time Azure infrastructure access for ops checks, policy validation, and Terraform analysis.
Analyze AWS cloud costs, detect waste, and surface budget insights naturally.
Search Azure service updates, retirements, and feature announcements in natural language.