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kajirita2002

honeycomb-mcp-server

by kajirita2002

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HONEYCOMB_API_KEYYesYour Honeycomb API key

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
honeycomb_authB

Get authentication information and validate API key

honeycomb_datasets_listB

List all datasets in the environment

honeycomb_dataset_getC

Get information about a specific dataset

honeycomb_datasets_createC

Create a new dataset

honeycomb_datasets_updateC

Update an existing dataset

honeycomb_columns_listC

List all columns in a dataset

honeycomb_query_createC

Create a new query for a dataset

honeycomb_query_getC

Get information about a specific query

honeycomb_query_result_createC

Create a new query result (run a query)

honeycomb_query_result_getC

Get results of a specific query execution

honeycomb_event_createC

Create a new event in a dataset

honeycomb_batch_event_createC

Create multiple events in a dataset in a single batch

honeycomb_boards_listB

List all boards

honeycomb_board_getC

Get information about a specific board

honeycomb_board_createC

Create a new board

honeycomb_board_updateC

Update an existing board

honeycomb_board_deleteB

Delete a board

honeycomb_markers_listC

List all markers for a dataset

honeycomb_marker_createC

Create a new marker for a dataset

honeycomb_marker_getC

Get information about a specific marker

honeycomb_marker_updateC

Update an existing marker

honeycomb_marker_deleteC

Delete a marker

honeycomb_slos_listC

List all SLOs for a dataset

honeycomb_slo_getC

Get information about a specific SLO

honeycomb_slo_createC

Create a new SLO for a dataset

honeycomb_slo_updateC

Update an existing SLO

honeycomb_triggers_listC

List all triggers for a dataset

honeycomb_trigger_getC

Get information about a specific trigger

honeycomb_trigger_createC

Create a new trigger for a dataset

honeycomb_trigger_updateC

Update an existing trigger

honeycomb_trigger_deleteC

Delete a trigger

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 31 tools

Disambiguation5/5

Every tool has a clearly distinct purpose targeting specific resources (boards, datasets, markers, queries, SLOs, triggers) and actions (create, get, list, update, delete). The descriptions explicitly differentiate between operations like query creation vs. query execution, and batch vs. single event creation, leaving no ambiguity.

Naming Consistency5/5

All tools follow a consistent pattern of honeycomb_resource_action or honeycomb_resources_action (e.g., honeycomb_board_get, honeycomb_boards_list). The naming is uniformly snake_case with clear verb-noun combinations, making it highly predictable and readable throughout the set.

Tool Count3/5

With 31 tools, the count feels heavy for a single server, potentially overwhelming for agents. While it covers multiple domains (boards, datasets, markers, queries, SLOs, triggers), it might benefit from consolidation or modularization, as typical well-scoped servers have 3-15 tools.

Completeness5/5

The tool surface provides complete CRUD/lifecycle coverage for each resource type (boards, datasets, markers, SLOs, triggers) and includes essential operations like query execution and batch event creation. There are no obvious gaps, ensuring agents can handle full workflows without dead ends.

Maintenance

ActivityInactive
ResponsivenessNo issues