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honeycomb Claude Code Plugin

Author
Honeycomb
Category
Monitoring
Topics
Monitoring & Observability · Claude Code Customization & Workflow
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-09-04 (UTC)
Source (GitHub) last updated
2026-08-26 (UTC) (10 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin adds Honeycomb observability skills, agents, and a setup command for AI coding assistants. According to its README, it packages nine skills covering topics such as query patterns, metrics queries, production investigation, SLOs and triggers, OpenTelemetry instrumentation and migration, Beeline migration, and dashboard/board creation. It also includes two agents for autonomous debugging and instrumentation gap analysis, plus a command to configure the separate Honeycomb MCP server. It is meant to be used alongside, not instead of, that MCP server. It can be installed as a full plugin in several coding tools or set up manually with MCP-only connectivity in others.

About the service

Honeycomb is an observability platform used to monitor production software behavior. Based on its homepage, it offers distributed tracing, log analytics, time series metrics, and dedicated observability features for AI agents and LLM calls, along with SLOs, anomaly detection (BubbleUp), service maps, and OpenTelemetry-native data ingestion. It also exposes an MCP server that lets AI agents query production telemetry directly.

What you can do with honeycomb

  • Run the honeycomb-investigator agent for autonomous multi-step production debugging
  • Run the instrumentation-advisor agent to find gaps between a codebase and its Honeycomb instrumentation
  • Use the /honeycomb-setup command to configure the Honeycomb MCP server interactively
  • Install the full plugin in Claude Code, OpenAI Codex, Cursor, Augment (Auggie CLI), or GitHub Copilot CLI, or set up skills and MCP manually for tools like VS Code Copilot, Codex CLI, or Cline

Sources

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