The Supabase MCP Server connects AI assistants to a Supabase database, allowing them to query feature suggestions stored in the database. Built with TypeScript using the Model Context Protocol SDK, it provides a single tool called 'query_feature_suggestions' that retrieves records from the feature_suggestions table with optional limit parameters. The server includes robust error handling and logging capabilities, making it ideal for workflows where AI assistants need to access, analyze, or present feature request data directly within conversations without requiring manual database queries.
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Query the feature_suggestions table in your Supabase database. Parameters: limit (number, optional): Maximum number of records to return (default: 100)
