Honeycomb MCP Server

Example Use Cases

• 1

  Run rich analytics queries (percentiles, heatmaps, aggregations) against Honeycomb datasets across multiple environments.

• 2

  Inspect dataset schemas and column metadata to construct context-aware prompts or validation checks.

• 3

  Monitor SLOs and triggers or generate deep links to specific traces in the Honeycomb UI.

Description

This repository provides a Model Context Protocol (MCP) server that exposes Honeycomb analytics, dataset metadata, SLOs, and triggers to LLM-based agents via STDIO. It supports rich analytics queries (counts, percentiles, heatmaps, breakdowns, filters), dataset/column inspection, and SLO/trigger monitoring, and includes TTL-based caching for non-query API calls. Configuration is driven by environment variables (API keys, optional EU endpoint, cache settings) and it is intended for Honeycomb Enterprise customers. Note: the README marks this project as deprecated in favor of Honeycomb's hosted MCP offering.