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Monitor LLM cost, errors, latency, alerts, and evaluations from AI coding tools.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "com.argosvix/server" MCP server from askskill: Run: claude mcp add 'com-argosvix-server' -- npx -y @argosvix/mcp-server
No documentation provided
Check the source repo for usage and examples.
Add observability to Python MCP servers and monitor latency, errors, and usage.
Monitor observability issues and auto-fix service errors and billing pipeline problems.
Run end-to-end browser testing and quality debugging directly from your IDE.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Query and analyze Prometheus metrics through AI-friendly standardized interfaces.
Track AI usage, costs, logs, and debug model interactions across apps.