sas-mcp
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TDQS
Scored across 16 tools
Most tools target a distinct resource and action: config selection, code execution, dataset metadata, file transfer, and comparison. A few overlapping boundaries exist—session_status overlaps with list_libraries/list_datasets for a quick overview, and run_sas vs. run_sas_tests both submit code—but the descriptions make the intended use clear.
The majority follow a clear verb_noun pattern such as list_datasets, describe_dataset, compare_datasets, and download_from_sas. The exceptions are session_status and sas_doctor, which are noun-led and break the otherwise predictable scheme.
Sixteen tools is slightly above the typical 3–15 sweet spot, but each tool maps to a distinct part of the SAS workflow: connection management, session state, code execution, file transfer, metadata inspection, and validation. The count feels justified rather than bloated.
The surface covers the core SAS lifecycle well: configure/connect, inspect session and datasets, run code, retrieve logs, transfer files, compare tables, and run tests. Minor gaps exist—no explicit disconnect tool or direct file deletion—but these do not create dead ends since run_sas and session management cover most of them.