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by bobtista • Analytics & Monitoring
An MCP server that lets AI agents query and analyze Honeybadger project faults and notices.
Search and filter Honeybadger faults by text, creation time, or occurrence time to identify relevant errors.
Retrieve detailed notices for a given fault (with time filtering and pagination) to assist debugging and root-cause analysis.
Integrate Honeybadger error data into MCP workflows or desktop clients (SSE or stdio) for automated monitoring and triage.
This Model Context Protocol (MCP) server bridges MCP-compatible AI agents with the Honeybadger error monitoring API, enabling programmatic listing, filtering, and inspection of faults and notices. It provides two primary tools — list_faults (search, filter, sort, paginate faults) and get_fault_details (retrieve and paginate notices for a fault) — and supports SSE and stdio transports for integration with clients like Claude Desktop. The server is runnable locally, via Docker, or as an installed package and requires a Honeybadger API key and project ID. It is designed to help agents surface relevant error data for analysis, debugging, and triage workflows.
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