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Validate Automation Studio queries in Salesforce Marketing Cloud before execution.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Inefavel/sfmc-mcp-server" MCP server from askskill: Run: claude mcp add 'io-github-inefavel-sfmc-mcp-server' -- npx -y sfmc-mcp-server
Validate this Salesforce Marketing Cloud Automation Studio SQL query. Identify syntax errors, missing fields, mismatched data extension names, and provide executable fixes: SELECT a.EmailAddress, b.OrderId FROM MasterSubscribers a JOIN Orders_DE b ON a.SubscriberKey = b.SubscriberKey WHERE b.OrderDate >= DATEADD(day, -7, GETDATE())
A validation report highlighting issues and risks, plus a suggested corrected SQL query.
Review this query that failed in Automation Studio. Focus on JOIN conditions, reserved keyword conflicts, and compatibility with target data extension field types. List issues by severity.
A structured issue list explaining root causes, impact, and fix priority.
Validate the following SFMC queries in batch. Mark each one as pass or fail, and provide fix suggestions and risk notes for failed items.
A per-query validation summary to quickly fix problematic queries before deployment.
Get SFMC scripting help and searchable guidance across multiple marketing products.
Connect Salesforce APIs for queries, record CRUD, metadata access, and GenAI workflows.
Manage Salesforce Interaction Studio datasets, campaigns, segments, and performance stats with natural language.
Use natural language to manage Salesforce data, schema, DevOps, and analytics.
Segment audiences, manage subscribers, and trigger marketing journeys with natural language.
Use natural language to query and act on Salesforce through MCP.