Query and explore observability data and SLOs
Honeycomb helps users investigate observability data, inspect traces, AI conversations, and anomaly signals, run queries and BubbleUp analyses, manage alerts and dashboards, and follow instrumentation migration guidance through your AI.
MCP connector Server URL https://mcp.honeycomb.io/mcpCopy Login OAuth Tools Reads data25 canvas_ find_ find_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ get_ list_ list_ list_ list_ migration_ record_ refinery_ run_ run_ semconv
Changes data8 canvas_ create_ create_ create_ create_ create_ create_ feedback
Deletes or can't be undone5 reset_ update_ update_ update_ update_
Skills 11 in the ChatGPT listing
Beeline migration Step-by-step guide for migrating from Honeycomb Beelines (End of Life) to OpenTelemetry instrumentation. Create honeycomb board Design and then create a board (dashboard) in Honeycomb with queries and SLOs. Metrics queries How to query OpenTelemetry metrics datasets in Honeycomb correctly. Observability fundamentals First principles behind observability — wide events, high cardinality, the core analysis loop, events vs metrics vs logs, and how instrumentation connects to debugging outcomes. Otel genai instrumentation Guides instrumentation of GenAI/LLM applications with OpenTelemetry for Honeycomb, including content capture and agent failure detection. Otel instrumentation Provides guidance on OpenTelemetry SDK setup, custom instrumentation, and sending data to Honeycomb. Otel migration Guide for retrofitting OpenTelemetry into an existing, uninstrumented application. Production investigation Structured workflows for investigating production issues in Honeycomb — the sequence of tool calls (context priming, broad query, BubbleUp, trace analysis, verification) and how to chain results between steps to reach root causes. Query patterns Opinionated guidance for constructing and interpreting Honeycomb queries on trace and event datasets — operation selection (percentiles not AVG, HEATMAP for distributions), relational field patterns (root., parent., any., none.), calculated fields, query math, and result interpretation (P99/P50 ratios, heatmap bands, TOTAL/OTHER rows, raw JSON via query_result_json). Slos and triggers Decision heuristics for interpreting Honeycomb SLO compliance, budget burn rates, and trigger status — what the numbers mean and what action to take, including detecting misconfigured SLIs, deciding when to freeze deploys vs page on-call, and designing burn alert thresholds. Verify recent trace Find a recent trace in Honeycomb, to see what happened in a recent test. 
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