# Honeycomb

> Use this tool when you need to automate observability tasks and perform data analysis through natural language interaction with Honeycomb resources. It provides programmatic access to monitoring workflows, enabling querying, creation, and management of datasets, queries, and events. Ideal for developers and DevOps teams seeking to streamline observability tasks and interact with Honeycomb data through a standardized interface.

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

## Description

Honeycomb MCP Server provides a direct interface for Claude AI to interact with the Honeycomb API, enabling programmatic access to observability and monitoring workflows. Created by kajirita2002, this TypeScript-based server allows querying, creating, and managing datasets, queries, events, boards, and other Honeycomb resources through a standardized set of tools. It's particularly useful for developers and DevOps teams wanting to automate observability tasks and perform data analysis through natural language interaction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-18

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/honeycomb)
- **Repository:** <https://github.com/kajirita2002/honeycomb-mcp-server>

## 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": "honeycomb"
    }
  }
}
```

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