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The task protocol (SEP-1686) is now always enabled - server always registers task handlers and advertises task capabilities. Users still opt into background execution at the server level (tasks=True) or component level (task=True on tools, prompts, resources). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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1.4 KiB
FastMCP Tasks Example
Demonstrates background task execution with Docket, including progress tracking, distributed backends, and CLI worker management.
Setup
# From the fastmcp root directory
uv sync
# Start Redis
cd examples/tasks
docker compose up -d
# Load environment (or source .envrc manually)
direnv allow
# Run the server
fastmcp run server.py
For single-process mode without Redis, set FASTMCP_DOCKET_URL=memory:// (note: CLI workers won't work).
Running the Client
# Background execution with progress callbacks
python examples/tasks/client.py --duration 10
# Immediate execution (blocks)
python examples/tasks/client.py immediate --duration 5
Starting Additional Workers
With Redis, you can run additional workers to process tasks in parallel:
fastmcp tasks worker server.py
# Configure via environment:
export FASTMCP_DOCKET_CONCURRENCY=20
fastmcp tasks worker server.py
Backend options:
memory://- Single-process only (default)redis://- Distributed, multi-process (Redis or Valkey)
Environment Variables
| Variable | Default | Description |
|---|---|---|
FASTMCP_DOCKET_URL |
memory:// |
Docket backend URL |