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Run SAS Viya scoring models, code, and jobs through natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sas-score-mcp-serverjs" yet — see the docs or source repo.
Run the prebuilt credit scoring job in SAS Viya using casuser.applications as input, write scored results to casuser.applications_scored, and return the execution status plus an output table summary.
Returns the job execution result, success status, and key summary details of the scored output table.
Use the published churn prediction model in SAS Viya to score casuser.customer_base in batch and list the top 20 records with the highest predicted probabilities.
Produces model scoring results and returns a ranked list of high-risk customers with their prediction scores.
Execute the pre-saved data cleansing and scoring code flow in SAS Viya for casuser.raw_claims, and report each step's status along with the final output location.
Returns a summary of the execution log, step-by-step status, and the location of the resulting dataset.
Connect to the SecurityScorecard API through MCP for security score data access.
Connect AI to SAP systems for ABAP editing, checks, and activation.
Calculate weighted candidate-job fit scores from skills and role requirements.
Build, debug, and manage software tasks with natural language across LLMs.
Enable AI to safely analyze business metrics without improvising raw SQL.
Query structured data in natural language without needing SQL or API expertise.