0.0.1 • Published 10 months ago

@mseep/honeycomb-mcp v0.0.1

Weekly downloads
-
License
MIT
Repository
-
Last release
10 months ago

Honeycomb MCP Server

A Model Context Protocol server for interacting with Honeycomb observability data. This server enables LLMs like Claude to directly analyze and query your Honeycomb datasets across multiple environments.

Features

  • Query Honeycomb datasets across multiple environments
  • Analyze columns and data patterns
  • Run basic analytics queries
  • Monitor SLOs and their status
  • View and analyze Triggers
  • Access dataset metadata and schema information

Installation

npm install
npm run build

Configuration

Create a configuration file at ~/.hny/config.json with your Honeycomb environments and API keys:

{
  "environments": [
    {
      "name": "production",
      "apiKey": "your_prod_api_key"
    },
    {
      "name": "staging",
      "apiKey": "your_staging_api_key"
    }
  ]
}

Each environment entry can also optionally include a baseUrl if you're using a different API endpoint.

Usage

With Claude Desktop

Add this to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "honeycomb": {
      "command": "node",
      "args": ["/path/to/build/index.mjs"]
    }
  }
}

Available Tools

  • list-datasets: List all datasets in an environment
  • get-columns: List all columns in a dataset
  • run-query: Run basic analytics queries with aggregations
  • analyze-column: Get detailed analysis of specific columns
  • list-slos: View all SLOs for a dataset
  • get-slo: Get detailed SLO status including compliance
  • list-triggers: View all triggers for a dataset
  • get-trigger: Get detailed trigger information

Resources

The server exposes Honeycomb datasets as resources with the URI format: honeycomb://{environment}/{dataset-slug}

For example:

  • honeycomb://production/api-requests
  • honeycomb://staging/backend-services

Development

pnpm install
pnpm run build

Requirements

  • Node.js 16+
  • Honeycomb API keys with appropriate permissions:
    • Query access for analytics
    • Read access for SLOs and Triggers
    • Environment-level access for dataset operations

Example Queries

Ask Claude things like:

  • "What datasets are available in the production environment?"
  • "Show me the SLO compliance for the API availability in production"
  • "Are there any active triggers in the staging environment?"
  • "What's the error rate in the production API dataset over the last hour?"

License

MIT

0.0.1

10 months ago