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Log Handler

Provide a log_handler function when creating the client:

import logging
from fastmcp import Client
from fastmcp.client.logging import LogMessage

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)

logger = logging.getLogger(__name__)
LOGGING_LEVEL_MAP = logging.getLevelNamesMapping()

async def log_handler(message: LogMessage):
    """Forward MCP server logs to Python's logging system."""
    msg = message.data.get('msg')
    extra = message.data.get('extra')

level = LOGGING_LEVEL_MAP.get(message.level.upper(), logging.INFO)
    logger.log(level, msg, extra=extra)

client = Client(
    "my_mcp_server.py",
    log_handler=log_handler,
)

The handler receives a LogMessage object:

LogMessage

  • level: Literal["debug", "info", "notice", "warning", "error", "critical", "alert", "emergency"]
    The log level
  • logger: str | None
    The logger name (may be None)
  • data: dict
    The log payload, containing msg and extra keys

Structured Logs

The message.data attribute is a dictionary containing the log payload. This enables structured logging with rich contextual information.

async def detailed_log_handler(message: LogMessage):
    msg = message.data.get('msg')
    extra = message.data.get('extra')

if message.level == "error":
        print(f"ERROR: {msg} | Details: {extra}")
    elif message.level == "warning":
        print(f"WARNING: {msg} | Details: {extra}")
    else:
        print(f"{message.level.upper()}: {msg}")

This structure is preserved even when logs are forwarded through a FastMCP proxy, making it useful for debugging multi-server applications.

Default Behavior

If you do not provide a custom log_handler, FastMCP’s default handler routes server logs to Python’s logging system at the appropriate severity level. The MCP levels map as follows: notice becomes INFO; alert and emergency become CRITICAL.

client = Client("my_mcp_server.py")

async with client:
    # Server logs are forwarded at proper severity automatically
    await client.call_tool("some_tool")