Canvas MCP Server

Instructions

Implementation Reference

• src/canvas_mcp/tools/other_tools.py:288-328 (handler)

  The handler function for the 'get_anonymization_status' tool. It is decorated with @mcp.tool() for registration and implements the logic to fetch and format anonymization status and statistics from config and stats helpers.
  @mcp.tool() async def get_anonymization_status() -> str: """Get current data anonymization status and statistics. Returns: Status information about data anonymization """ from ..core.anonymization import get_anonymization_stats from ..core.config import get_config config = get_config() stats = get_anonymization_stats() result = "🔒 Data Anonymization Status:\n\n" if config.enable_data_anonymization: result += "✅ **ANONYMIZATION ENABLED** - Student data is protected\n\n" result += "📊 Session Statistics:\n" result += f" • Total unique students anonymized: {stats['total_anonymized_ids']}\n" result += f" • Privacy protection: {stats['privacy_status']}\n" result += f" • Debug logging: {'ON' if config.anonymization_debug else 'OFF'}\n\n" if stats['total_anonymized_ids'] > 0: result += "🎭 Anonymous ID Examples:\n" for i, (real_hint, anon_id) in enumerate(stats['sample_mappings'].items()): result += f" • {real_hint} → {anon_id}\n" if i >= 2: # Limit to 3 examples break result += "\n" result += "🛡️ **FERPA Compliance**: Data anonymized before AI processing\n" result += "📍 **Data Location**: All processing happens locally on your machine\n" else: result += "⚠️ **ANONYMIZATION DISABLED** - Student data is NOT protected\n\n" result += "🚨 **PRIVACY RISK**: Real student names and data sent to AI\n" result += "⚖️ **COMPLIANCE**: May violate FERPA requirements\n\n" result += "💡 **Recommendation**: Enable anonymization in your .env file:\n" result += " ENABLE_DATA_ANONYMIZATION=true\n" return result