Logging (MCP Logging)

Logging is a core capability of the Model Context Protocol that allows a server to stream real-time events, errors, and informational messages to the client.

Benefits for Developers

• Real-time Debugging: Seeing exactly what is happening inside the server during a tool call.
• Audit Trails: Providing a record of all actions performed by the AI agent.
• Observability: Monitoring the health and performance of the server in production.

Logs are typically sent as notifications/logging/message objects, categorized by severity levels (debug, info, warn, error).

Production Auditing with HasMCP

HasMCP extends standard MCP logging by providing a Streaming Debug Console and comprehensive Audit Logs. This enables enterprise teams to maintain a complete record of every tool invocation and data transformation. By capturing the state of requests before and after optimization, HasMCP provides the transparency needed for security compliance and the granular data required for rapid troubleshooting in production-grade AI applications.

Questions & Answers

What is the role of "Logging" in the Model Context Protocol?

Logging allows an MCP server to stream real-time events, errors, and informational messages to the client. This is essential for debugging, auditing actions, and monitoring server health in production.

How are logs categorized and sent in the MCP?

Logs are sent as notifications/logging/message objects. They are typically categorized by severity levels, such as debug, info, warn, and error, helping developers filter and prioritize messages.

How does HasMCP enhance standard MCP logging?

HasMCP adds enterprise-grade features like a Streaming Debug Console and comprehensive Audit Logs. It captures detailed state information before and after data optimization, providing transparency for security and troubleshooting.