Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
WindowsMacOS
Honeycomb MCP
austinlparker/hny-mcp
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.
Install
Client configuration
{
"mcpServers": {
"honeycomb": {
"command": "node",
"args": [
"/fully/qualified/path/to/honeycomb-mcp/build/index.mjs"
],
"env": {
"HONEYCOMB_API_KEY": "<HONEYCOMB_API_KEY>"
}
}
}
}Environment variables
HONEYCOMB_API_KEYHONEYCOMB_ENV_PROD_API_KEYHONEYCOMB_ENV_STAGING_API_KEYHONEYCOMB_API_ENDPOINT- Author
- @austinlparker
- Category
- Monitoring, Developer Tools
- License
- MIT
- Updated
- Oct 6, 2026
About Honeycomb MCP
DEPRECATED: This self-hosted MCP server is deprecated. Please migrate to the hosted Honeycomb Model Context Protocol (MCP) solution at Honeycomb MCP Documentation.
Features
Query Honeycomb datasets across multiple environments
Run analytics queries with support for:
Monitor SLOs and their status (Enterprise only)
Analyze columns and data patterns
View and analyze Triggers
Access dataset metadata and schema information
Optimized performance with TTL-based caching for all non-query API calls
honeycomb://production/api-requests
honeycomb://staging/backend-services
Dataset name
Tools (7)
get_columns
Get column information for a dataset
run_query
Run analytics queries with rich options
analyze_columns
Analyzes specific columns in a dataset by running statistical queries and returning computed metrics.
get_slo
Get detailed SLO information
get_trigger
Get detailed trigger information
get_trace_link
Generate a deep link to a specific trace in the Honeycomb UI
get_instrumentation_help
Provides OpenTelemetry instrumentation guidance
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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A general-purpose AI agent that can dynamically plug in new extensions and learn how to use them. It uses tools from multiple extensions to solve more advanced problems and can interact with multiple extensions simultaneously.
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