Sleep Task Executor MCP

Sleep Task Executor MCP

This MCP server provides tools to generate core prompt + progress/index, run a single execution, or start continuous/interval loops via agent.

Tools

• sleep_task_execute

- Inputs: - goal (string, required) - input_materials (string[], required) - output_dir (string, required) - workspace_dir (string, optional) - agent_bin (string, optional, default: agent) - run_once (boolean, optional, default: true) - show_generated (boolean, optional, default: true)

• sleep_task_start

- Inputs: - goal (string, required) - input_materials (string[], required) - output_dir (string, required) - workspace_dir (string, optional) - agent_bin (string, optional, default: agent) - mode (string, required: continuous | interval) - interval_seconds (number, optional: continuous default 0, interval default 1800) - max_success_runs (number, optional: 0 or omitted = unlimited)

• sleep_task_list

- Inputs: - status (string, optional: running | stopped | stopping | completed | error | stale)

• sleep_task_stop

- Inputs: - task_id (string, required)

• sleep_task_log

- Inputs: - task_id (string, required) - tail_lines (number, optional, default: 200, 0 = all)

Notes

• Requires agent CLI to be installed and logged in.
• Writes only to the specified output_dir.
• Uses fixed model: gpt-5.2-codex-xhigh-fast.
• Task database: data/tasks.json.
• Task logs: logs/.log.

Run Semantics

• continuous: runs back-to-back; if interval_seconds > 0, waits after each run.
• interval: waits interval_seconds after each run (default 1800 seconds).
• max_success_runs: counts only successful runs; stop when reached.

Logging Details

• Each task logs tool invocation, run start/end, and wait intervals.
• Agent stdout/stderr are captured (truncated) per run.
• Output directory file changes (created/updated/deleted) are logged per run.