honeycomb-mcp
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Honeycomb MCP is a Model Context Protocol server designed for interacting with Honeycomb observability data, enabling LLMs to analyze and query datasets across multiple environments.
Honeycomb MCP is a server that facilitates the interaction between large language models (LLMs) and Honeycomb observability data. It allows users to query and analyze datasets from Honeycomb across different environments, providing a comprehensive alternative interface to the Honeycomb platform. The server requires Node.js 18+ and a Honeycomb API key with full permissions for analytics, SLOs, triggers, and dataset operations. It is currently available only for Honeycomb Enterprise customers. The server operates as a single process on the user's computer, using STDIO for communication between the client and server. Installation involves building the server with pnpm, and configuration requires setting environment variables for API keys. The server supports caching to enhance performance and reduce API usage, and it is compatible with various clients like Claude Desktop, Claude Code, Cursor, Windsurf, and Goose.
Features
- Query Honeycomb datasets across multiple environments
- Run analytics queries with support for multiple calculation types, breakdowns, and filters
- Monitor SLOs and their status (Enterprise only)
- Analyze columns and data patterns
- Optimized performance with TTL-based caching for all non-query API calls