Benchmarking the ClickStack MCP Server with hdx-evals

Last month, an Open House event in San Francisco featured the introduction of the ClickStack MCP server, a suite of tools designed to enhance the accuracy, efficiency, and consistency of AI agents in investigating production incidents compared to the standard ClickHouse SQL interface. The ClickStack MCP demonstrated significant improvements, including more accurate outcomes and reduced tool calls, prompting detailed analysis of these results. To evaluate performance, a benchmarking framework called hdx-evals was developed, which simulates realistic incidents using synthetic data to test the MCP's capabilities against those of direct SQL access. Five scenarios were designed to test various investigative skills, such as identifying root causes and reducing log ingestion costs. The results consistently favored ClickStack MCP over ClickHouse SQL MCP across all scenarios, highlighting its strengths in structured queries and investigative efficacy. The framework's open-source nature invites contributions and aims to integrate into continuous integration (CI) workflows, ensuring that any changes to the MCP are thoroughly tested before deployment.

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