This is a Gradio web UI, not an MCP server. No MCP protocol implementation detected. Tools are Gradio callback functions, not MCP tool definitions. No JSON Schema input validation, no structured error handling, no tool registration via MCP. Transport is unknown (likely HTTP via Gradio's built-in server). Tool descriptions are present but minimal (10-50 chars). Parameters lack type constraints and validation. No output schemas documented. Security: raw SQL execution exposed via execute_raw_sql and execute_sql tools creates SQL injection risk. No permission gates, no audit logging, no secret injection pattern. Composition: multiple tools do similar things (execute_raw_sql, run_query, execute_sql) without clear differentiation. Not production-grade for agent use.

• Convert this Gradio app to a proper MCP server using the Python MCP SDK (mcp package). Implement tool registration via the MCP protocol with explicit schemas, descriptions, and error handling.
• Eliminate SQL injection risk: replace execute_raw_sql, run_query, and execute_sql with a single parameterized query tool that accepts query templates and bound parameters. Validate all SQL against a whitelist of allowed operations (SELECT, INSERT, UPDATE, DELETE only; no DROP, ALTER, TRUNCATE).
• Document output schemas for all read tools (get_joined_data, get_analytics, etc.). Return structured JSON with typed fields, not raw dataframes. Include pagination (limit, offset, total_count) for large result sets.
• Add comprehensive error handling: catch database exceptions, validate inputs before execution, return actionable error messages with recovery hints. E.g., 'Invalid student ID 999. Valid IDs: 1-5. Call get_students() to list all.'
• Implement permission gates and audit logging. Log all tool calls with user ID, timestamp, parameters, and result. Gate destructive operations (delete_student, update_student) behind permission checks. Never expose database credentials in tool parameters.