# Honeycomb

> Use this tool when you need to analyze and query observability data from Honeycomb, to solve problems such as automated performance analysis, anomaly detection, and data-driven troubleshooting in complex distributed systems. It provides an interface for listing columns, running analytics queries, and analyzing data patterns, and outputs actionable insights from Honeycomb datasets. By leveraging this tool, AI agents can easily access and interpret observability data, streamlining the troubleshooting process in complex systems.

Canonical page: https://skillsregistry.net/skills/austinlparker-honeycomb  
JSON: https://api.skillsregistry.net/v1/skills/austinlparker-honeycomb

## Description

This Honeycomb MCP server, developed by Austin Parker, enables AI assistants to directly analyze and query Honeycomb observability data. Built with TypeScript and leveraging the MCP SDK, it provides tools for listing columns, running analytics queries, and analyzing data patterns within Honeycomb datasets. The server abstracts the complexities of interacting with the Honeycomb API, allowing AI systems to easily access and interpret observability data. By bridging AI capabilities with Honeycomb's powerful analytics, this implementation facilitates use cases such as automated performance analysis, anomaly detection, and data-driven troubleshooting in complex distributed systems.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/austinlparker-honeycomb)
- **Repository:** <https://github.com/honeycombio/honeycomb-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "austinlparker-honeycomb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/austinlparker-honeycomb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/austinlparker-honeycomb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt