
Frantisek Rehor developed targeted job execution functionality for the keboola/mcp-server repository, enabling the MCP Tool to run jobs for specific configuration row IDs rather than all rows. He extended the JobsQueueClient and updated the run_job method to support an optional config_row_ids parameter, aligning the tool’s API with the underlying Queue API. Using Python, Frantisek focused on backend and API development, incorporating comprehensive tests to validate row-level execution and prevent regressions. This work improved reproducibility and efficiency by narrowing job scopes, accelerating feedback for configuration changes, and maintaining consistency with existing tooling, demonstrating thoughtful engineering within a focused feature.
March 2026 (keboola/mcp-server): Implemented selective job execution by configuration row IDs in the MCP Tool. The change introduces config_row_ids support to the JobsQueueClient and updates run_job to utilize this parameter, enabling targeted runs for specific configuration rows. This aligns the MCP Tool with the underlying Queue API (configRowIds), reduces unnecessary job executions, and improves reproducibility and test coverage. The work includes tests validating row-level execution and maintains API consistency with existing tooling. Committed changes provide business value by optimizing run scopes and accelerating feedback loops for configuration changes.
March 2026 (keboola/mcp-server): Implemented selective job execution by configuration row IDs in the MCP Tool. The change introduces config_row_ids support to the JobsQueueClient and updates run_job to utilize this parameter, enabling targeted runs for specific configuration rows. This aligns the MCP Tool with the underlying Queue API (configRowIds), reduces unnecessary job executions, and improves reproducibility and test coverage. The work includes tests validating row-level execution and maintains API consistency with existing tooling. Committed changes provide business value by optimizing run scopes and accelerating feedback loops for configuration changes.

Overview of all repositories you've contributed to across your timeline