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Query live traffic, errors, latency, and alerts from your AI agent.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Spanly" MCP server from askskill: Run: claude mcp add --transport http 'com-spanly-spanly' 'https://mcp.spanly.com/'
Query my AI agent error logs from the last 24 hours, summarize by error type and frequency, and highlight the most critical issues.
A summary of error categories, major failure patterns, and a prioritized list of issues to fix.
Review the last 7 days of agent request latency, identify average duration, peak periods, and the slowest endpoints or tasks.
Latency trends, identified performance bottlenecks, and details on slow requests that can be optimized.
Query live alerts for my AI agent, explain severity and impact scope, and suggest handling priorities.
A list of current alerts, their impact descriptions, and a recommended response order.
Monitor multi-agent workflows with live calls, sessions, and usage observability.
Query LLM observability data via MCP to diagnose performance and issues.
Track AI usage, costs, logs, and debug model interactions across apps.
Give AI agents spa-like resets between tool calls to improve pacing.
Investigate agents, conversation threads, and content trust signals for analysis.
Query normalized usage, cost, and dashboard data across OpenAI and Anthropic.