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Monitor Claude Code costs, ROI, budgets, anomalies, and usage forecasts.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.vk0dev/agent-cost-mcp" MCP server from askskill: Run: claude mcp add 'io-github-vk0dev-agent-cost-mcp' -- npx -y @vk0/agent-cost-mcp
Analyze Claude Code tool-call costs from the last 7 days. List total spend, call count, average cost per call, and ROI by tool. Identify the three tools with the highest cost but lowest return, and suggest optimizations.
A cost and ROI report by tool, including a ranked list of high-cost low-return tools and optimization recommendations.
Set a $500 monthly budget for Claude Code usage. Trigger an alert if month-end spending is forecast to exceed the budget by more than 10%, and flag any subagent-tool combinations with abnormal cost spikes today.
Budget monitoring results with overspend forecasts, alert status, and pinpointed abnormal cost sources.
Break down this week's Claude Code costs by subagent. Show which tools each subagent used, how much each cost, what outputs they produced, and assess which subagents are most worth keeping or reducing.
A subagent cost attribution report that helps guide resource allocation and reduction decisions.
Monitor Claude usage live, predict limits, and control costly AI coding actions.
Query Claude Code transcript analytics for cost, safety, audit, and efficiency insights.
Query Claude Code usage and costs with natural-language spend analysis insights.
Track LLM costs, enforce budgets, and get spending alerts in AI editors.
Monitor AI agents, limits, quality, and costs in real time.
Track Claude Code token usage, costs, and plan limits for better control.