$ loading_
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.
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.
Query LLM observability data via MCP to diagnose performance and issues.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.
Build, debug, and manage software tasks with natural language across LLMs.