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 analytics queries with support for:
  • Multiple calculation types (COUNT, AVG, P95, etc.)
  • Breakdowns and filters
  • Time-based analysis
• Monitor SLOs and their status
• View and analyze Triggers
• Access dataset metadata and schema information

Installation

pnpm install
pnpm run build

Configuration

Create a configuration file at .mcp-honeycomb.json in one of these locations:

• Current directory
• Home directory (~/.mcp-honeycomb.json)
• Custom location specified by MCP_HONEYCOMB_CONFIG environment variable

Example configuration:

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

Usage

With Claude or other MCP Clients

The server exposes both resources and tools for interacting with Honeycomb data.

Resources

Access Honeycomb datasets using URIs in the format: honeycomb://{environment}/{dataset}

For example:

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

The resource response includes:

• Dataset name
• Column information (name, type, description)
• Schema details

Tools

• list_datasets: List all datasets in an environment

  { "environment": "production" }

• get_columns: Get column information for a dataset

  {
    "environment": "production",
    "dataset": "api-requests"
  }

• run_query: Run analytics queries with rich options

  {
    "environment": "production",
    "dataset": "api-requests",
    "calculations": [
      { "op": "COUNT" },
      { "op": "P95", "column": "duration_ms" }
    ],
    "breakdowns": ["service.name"],
    "time_range": 3600
  }

• analyze_column: Get statistical analysis of a column

  {
    "environment": "production",
    "dataset": "api-requests",
    "column": "duration_ms"
  }

• list_slos: List all SLOs for a dataset

  {
    "environment": "production",
    "dataset": "api-requests"
  }

• get_slo: Get detailed SLO information

  {
    "environment": "production",
    "dataset": "api-requests",
    "sloId": "abc123"
  }

• list_triggers: List all triggers for a dataset

  {
    "environment": "production",
    "dataset": "api-requests"
  }

• get_trigger: Get detailed trigger information

  {
    "environment": "production",
    "dataset": "api-requests",
    "triggerId": "xyz789"
  }

Example Queries

Ask Claude things like:

• "What datasets are available in the production environment?"
• "Show me the P95 latency for the API service over the last hour"
• "What's the error rate broken down by service name?"
• "Are there any SLOs close to breaching their budget?"
• "Show me all active triggers in the staging environment"
• "What columns are available in the production API dataset?"

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

License

MIT