Meet Prefect Horizon, the enterprise MCP gateway built by the team behind FastMCP
v2.14.5
These are the docs for FastMCP 2.0. FastMCP 3.0 is now available.
Function-Based Handler
The simplest way to handle messages is with a function that receives all messages:
from fastmcp import Client
async def message_handler(message):
"""Handle all MCP messages from the server."""
if hasattr(message, 'root'):
method = message.root.method
print(f"Received: {method}")
# Handle specific notifications
if method == "notifications/tools/list_changed":
print("Tools have changed - might want to refresh tool cache")
elif method == "notifications/resources/list_changed":
print("Resources have changed")
client = Client(
"my_mcp_server.py",
message_handler=message_handler,
)
Message Handler Class
For fine-grained targeting, FastMCP provides a MessageHandler class you can subclass to take advantage of specific hooks:
from fastmcp import Client
from fastmcp.client.messages import MessageHandler
import mcp.types
class MyMessageHandler(MessageHandler):
async def on_tool_list_changed(
self, notification: mcp.types.ToolListChangedNotification
) -> None:
"""Handle tool list changes specifically."""
print("Tool list changed - refreshing available tools")
client = Client(
"my_mcp_server.py",
message_handler=MyMessageHandler(),
)
Available Handler Methods
All handler methods receive a single argument - the specific message type:
Message Handler Methods
on_message(message)
Any MCP message Called for ALL messages (requests and notifications)
on_request(request)
mcp.types.ClientRequest Called for requests that expect responses
on_notification(notification)
mcp.types.ServerNotification Called for notifications (fire-and-forget)
on_tool_list_changed(notification)
mcp.types.ToolListChangedNotification Called when the server’s tool list changes
on_resource_list_changed(notification)
mcp.types.ResourceListChangedNotification Called when the server’s resource list changes
on_prompt_list_changed(notification)
mcp.types.PromptListChangedNotification Called when the server’s prompt list changes
on_progress(notification)
mcp.types.ProgressNotification Called for progress updates during long-running operations
on_logging_message(notification)
mcp.types.LoggingMessageNotification Called for log messages from the server
Example: Handling Tool Changes
Here’s a practical example of handling tool list changes:
from fastmcp.client.messages import MessageHandler
import mcp.types
class ToolCacheHandler(MessageHandler):
def __init__(self):
self.cached_tools = []
async def on_tool_list_changed(
self, notification: mcp.types.ToolListChangedNotification
) -> None:
"""Clear tool cache when tools change."""
print("Tools changed - clearing cache")
self.cached_tools = [] # Force refresh on next access
client = Client("server.py", message_handler=ToolCacheHandler())
Handling Requests
While the message handler receives server-initiated requests, for most use cases you should use the dedicated callback parameters instead:
- Sampling requests: Use
sampling_handler - Progress requests: Use
progress_handler - Log requests: Use
log_handler
The message handler is primarily for monitoring and handling notifications rather than responding to requests.