Honeycomb

by kajirita2002

2 stars

848 downloads

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GitHub

About

Provides a direct TypeScript-based interface for interacting with Honeycomb's observability API, enabling developers to query, create, and manage datasets, events, and monitoring resources through natural language interaction.

Details

Author: kajirita2002
Repository: kajirita2002/honeycomb-mcp-server
GitHub stars: 2
Downloads: 848
License: MIT License
Categories: Productivity, Developer Tools, Design, Workplace, AI, Search, Communication, Infrastructure, Project Management, Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Honeycomb

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @kajirita2002/honeycomb-mcp-server
Environment
- HONEYCOMB_API_KEY your_honeycomb_api_key
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "/c",
                "npx",
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "/c",
                "npx",
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "/c",
                "npx",
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "/c",
                "npx",
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "/c",
                "npx",
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

npm install -g @kajirita2002/honeycomb-mcp-server

bash

export HONEYCOMB_API_KEY="your_honeycomb_api_key"

If you're using this MCP server, add the following configuration to your mcp_config.json file:

json
"honeycomb": {
"command": "npx",
"args": ["-y", "@kajirita2002/honeycomb-mcp-server"],
"env": {
"HONEYCOMB_API_KEY": "your_honeycomb_api_key"
}
}

1. honeycomb_auth - Authenticates with the Honeycomb API and validates your API key - No input parameters required (uses environment variable) Here's an example of Claude using this MCP server to list datasets and run a query:

[Claude] Can you show me the available datasets in our Honeycomb environment?

[User] Sure, I'd like to see what datasets we have in Honeycomb.

[Claude] I'll list all the available datasets in your Honeycomb environment.

I'll use the honeycomb_datasets_list tool...

Here are your available datasets:
- production-metrics (slug: prod-metrics)
- staging-services (slug: staging-svc)
- application-logs (slug: app-logs)

Which dataset would you like to explore further?

[User] Let's look at the production-metrics dataset.

[Claude] I'll get details about the production-metrics dataset using honeycomb_dataset_get with the slug "prod-metrics"...

Now I'll create and run a query to show the average response time over the last 24 hours.

I'll use honeycomb_query_create and then honeycomb_query_result_create...

Here are the results showing the average response time trend:
[Query results visualization description]

`honeycomb_auth`

Authenticates with the Honeycomb API and validates your API key. No input parameters required (uses environment variable).

`honeycomb_datasets_list`

Lists all available datasets in your Honeycomb environment. No input parameters required.

`honeycomb_dataset_get`

Gets detailed information about a specific dataset. Input: datasetSlug (string, required): Slug of the dataset to retrieve.

`honeycomb_columns_list`

Lists all columns in a dataset with optional filtering. Input: datasetSlug (string, required): Slug of the dataset; key_name (string, optional): Filter by a specific column key name.

`honeycomb_query_create`

Creates a new query for a dataset. Input: datasetSlug (string, required): Slug of the dataset; query (object, required): Query configuration object with calculation, time range, and filters.

`honeycomb_query_get`

Gets information about a specific query. Input: datasetSlug (string, required): Slug of the dataset; queryId (string, required): ID of the query to retrieve.

`honeycomb_query_result_create`

Executes a query and returns the results (runs a query). Input: datasetSlug (string, required): Slug of the dataset; queryId (string, required): ID of the query to run; disable_series (boolean, optional): Whether to disable series data; disable_total_by_aggregate (boolean, optional): Whether to disable total aggregates; disable_other_by_aggregate (boolean, optional): Whether to disable other aggregates; limit (integer, optional): Limit on the number of results.

`honeycomb_query_result_get`

Gets the results of a previously executed query. Input: datasetSlug (string, required): Slug of the dataset; queryResultId (string, required): ID of the query result to retrieve.

`honeycomb_dataset_definitions_list`

Lists dataset definitions with pagination support. Input: page (number, optional): Page number (starting from 1); limit (number, optional): Number of results per page (default: 100, max: 1000); sort_by (string, optional): Field to sort by (e.g. 'name', 'description'); sort_order (string, optional): Sort order ('asc' or 'desc').

`honeycomb_boards_list`

Lists all available boards. No input parameters required.

`honeycomb_board_get`

Gets detailed information about a specific board. Input: boardId (string, required): ID of the board to retrieve.

This MCP server provides the following tools:

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "honeycomb": {
            "env": {
                "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
            },
            "args": [
                "-y",
                "@kajirita2002/honeycomb-mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": {
        "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
    },
    "args": [
        "-y",
        "@kajirita2002/honeycomb-mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": {
        "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
    },
    "args": [
        "-y",
        "@kajirita2002/honeycomb-mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": {
        "HONEYCOMB_API_KEY": "your_honeycomb_api_key"
    },
    "args": [
        "/c",
        "npx",
        "-y",
        "@kajirita2002/honeycomb-mcp-server"
    ],
    "command": "cmd"
}

Honeycomb MCP Server

Read this in Japanese

Overview

This server is an interface that uses the Model Context Protocol (MCP) to enable Claude AI to interact with the Honeycomb API.

With this MCP server, Claude AI can perform operations such as retrieving, creating, and updating Honeycomb datasets, queries, events, boards, markers, SLOs, and triggers.

About the Repository

This repository provides a standalone implementation of the Honeycomb MCP server. It integrates Claude AI with Honeycomb to streamline observability and monitoring workflows.

Setup

Prerequisites

- Node.js 18 or higher
- Honeycomb API key

Installation

```bash

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About

Details

Jump to

Setting up with Highlight

From the repository

honeycomb_auth

honeycomb_datasets_list

honeycomb_dataset_get

honeycomb_columns_list

honeycomb_query_create

honeycomb_query_get

honeycomb_query_result_create

honeycomb_query_result_get

honeycomb_dataset_definitions_list

honeycomb_boards_list

honeycomb_board_get

Claude Desktop / Cursor

Linux

Macos

Windows

Honeycomb MCP Server

Overview

About the Repository

Setup

Prerequisites

Installation

Install

More like this

Time

Sentry

Github

Git

GitLab

Context 7

`honeycomb_auth`

`honeycomb_datasets_list`

`honeycomb_dataset_get`

`honeycomb_columns_list`

`honeycomb_query_create`

`honeycomb_query_get`

`honeycomb_query_result_create`

`honeycomb_query_result_get`

`honeycomb_dataset_definitions_list`

`honeycomb_boards_list`

`honeycomb_board_get`