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chore: import upstream snapshot with attribution
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---
title: Progress Monitoring
sidebarTitle: Progress
description: Handle progress notifications from long-running server operations.
icon: bars-progress
---
import { VersionBadge } from '/snippets/version-badge.mdx'
<VersionBadge version="2.3.5" />
Use this when you need to track progress of long-running operations.
MCP servers can report progress during operations. The client receives these updates through a progress handler.
## Progress Handler
Set a handler when creating the client:
```python
from fastmcp import Client
async def progress_handler(
progress: float,
total: float | None,
message: str | None
) -> None:
if total is not None:
percentage = (progress / total) * 100
print(f"Progress: {percentage:.1f}% - {message or ''}")
else:
print(f"Progress: {progress} - {message or ''}")
client = Client(
"my_mcp_server.py",
progress_handler=progress_handler
)
```
The handler receives three parameters:
<Card icon="code" title="Handler Parameters">
<ResponseField name="progress" type="float">
Current progress value
</ResponseField>
<ResponseField name="total" type="float | None">
Expected total value (may be None if unknown)
</ResponseField>
<ResponseField name="message" type="str | None">
Optional status message
</ResponseField>
</Card>
## Per-Call Handler
Override the client-level handler for specific tool calls:
```python
async with client:
result = await client.call_tool(
"long_running_task",
{"param": "value"},
progress_handler=my_progress_handler
)
```