logging-and-observability

Implements structured JSON logging and audit trails for MCP servers.

47|5|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill logging-and-observability-redhatproductsecurity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: logging-and-observability
Source: https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/logging-and-observability
Command: npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill logging-and-observability-redhatproductsecurity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for centralized, structured logging and comprehensive audit trails in MCP servers, enabling effective security monitoring and incident response.

Core Features & Use Cases

  • Implement centralized structured logging that captures security-relevant events in formats like JSON.
  • Configure log destinations such as Elasticsearch, Splunk, or OpenShift logging stack for real-time monitoring.
  • Generate detailed audit trails including user identities, tool invocations, parameters, timestamps, results, and source IPs to support security investigations.
  • Use Case: When developing or reviewing MCP servers, ensure logs contain necessary information for effective intrusion detection and compliance auditing.

Quick Start

Use the logging and observability skill to enforce logging standards when deploying MCP applications.

Frequently Asked Questions about logging-and-observability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement structured logging for MCP server security monitoring?

Centralized structured logging for MCP servers captures security-relevant events in JSON format, ensuring comprehensive data for monitoring and analysis. It scrubs sensitive information and forwards logs to platforms like Elasticsearch or Splunk for real-time visibility.

What is an audit trail in MCP servers and why is it needed?

An audit trail in MCP servers is a detailed record of user identities, tool invocations, parameters, and timestamps. It is needed to support security investigations, ensure traceability, and maintain compliance auditing standards.

How do I configure MCP server logs for centralized collection in Splunk or Elasticsearch?

Configuring MCP server logs for centralized collection involves setting log destinations to platforms like Elasticsearch, Splunk, or the OpenShift logging stack. This enables real-time monitoring and centralized analysis of structured JSON security events.

Does structured logging for MCP servers scrub sensitive data from audit trails?

Structured logging for MCP servers does scrub sensitive data from audit trails. It ensures comprehensive logs while removing sensitive information, maintaining compliance and protecting user privacy during security monitoring and incident response.

Can I use MCP server logging for compliance auditing and incident response?

MCP server logging can be used for compliance auditing and incident response. It generates detailed audit trails including user identities, source IPs, and tool results, providing the necessary traceability for security investigations.

What is the best way to ensure traceability of tool invocations in MCP applications?

The best way to ensure traceability of tool invocations in MCP applications is by generating detailed audit trails. Capturing parameters, timestamps, results, and source IPs provides comprehensive records for security monitoring and compliance.