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Audit Trail
Value Proposition Automate compliance workflows and maintain uncompromised data governance with zero-overhead audit tracking. Capture pre-mutation snapshots to provide immutable visibility into agent actions, bridging the gap between AI autonomy and strict enterprise governance requirements.
Achieve uncompromised data governance and automate compliance workflows with robust audit tracking. Enable detailed monitoring to capture pre-mutation snapshots and maintain complete operational visibility across all database interactions.
Configure by passing the following flags during server initialization:
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--audit-log <path>: Enables the audit log and specifies the file path (e.g.,--audit-log /var/log/mcp-audit.jsonl). -
--audit-backup: Enables pre-mutation snapshots for DML changes. -
--audit-reads: Includes read-scope tool calls (like SELECTs) in the audit log. -
--audit-redact: Automatically redacts sensitive parameters from the JSONL output. -
--audit-log-max-size: Maximum size for the audit log file. Reaching this maximum triggers automatic log rotation. -
--audit-backup-data: Includes sample data in pre-mutation snapshots. -
--audit-backup-max-size: Maximum table size in bytes for data capture.
See the Configuration guide for all audit options, including sizes and redaction rules.
Unlock autonomous database orchestration with an enterprise-grade MySQL MCP server. Featuring blazing-fast sandboxed Code Mode, uncompromising schema enforcement, and seamless ecosystem integrations to power secure, intelligent AI workflows.
- Installation
- Configuration
- Architecture
- HTTP Transport
- Tool Filtering
- Code Mode
- Tools
- Prompts
- Resources
- Observability & Telemetry