kajirita2002_honeycomb-mcp-server
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The Honeycomb MCP Server is an interface that uses the Model Context Protocol (MCP) to enable Claude AI to interact with the Honeycomb API, facilitating operations such as retrieving, creating, and updating datasets, queries, events, boards, markers, SLOs, and triggers.
The Honeycomb MCP Server is a standalone implementation designed to integrate Claude AI with the Honeycomb API, streamlining observability and monitoring workflows. It allows Claude AI to perform various operations on Honeycomb datasets, including retrieval, creation, and updates. The server is built to enhance the interaction between AI models and Honeycomb's observability tools, making it easier to manage and analyze data. The server requires Node.js 18 or higher and a Honeycomb API key for setup. It provides a range of tools for authentication, dataset management, column management, query management, and board management, among others. The server also includes error handling mechanisms and supports integration with different platforms through scripts.
Features
- Integration with Honeycomb API for dataset management and query execution.
- Support for authentication and validation of API keys.
- Tools for managing datasets, columns, queries, and boards.
- Error handling with consistent error information format.
- Support for observability automation and incident investigation.
Tools
honeycomb_auth
Authentication tool, verify the Honeycomb API key
honeycomb_datasets_list
List all available datasets
honeycomb_dataset_get
Get detailed information about a specific dataset
honeycomb_columns_list
List columns in the dataset
honeycomb_query_create
Create a new query
honeycomb_query_get
Get query information
honeycomb_query_result_create
Execute the query and return the result
honeycomb_query_result_get
Get query results
honeycomb_boards_list
List all boards
honeycomb_board_get
Get detailed information on the board
