manager-getting-started

name	manager-getting-started
description	Getting started with Manager — the 48-tool multi-AI orchestrator. Use when: delegating code tasks to Claude Code/Codex/Gemini, running parallel AI executions, creating workflow templates, or routing tasks across AI backends.

What Manager Is

A single MCP server (manager.exe) with 48 tools for multi-AI orchestration. It routes tasks to Claude Code, Codex, Gemini CLI, and GPT, with parallel execution, workflow chaining, and learned routing patterns.

Category	Key Tools	What It Does
Task lifecycle	task_submit, task_status, task_output, task_poll, task_list	Submit, monitor, and retrieve AI task results
Routing	task_route, task_decompose, task_explain	Smart backend selection and task breakdown
Parallel	task_run_parallel	Concurrent multi-backend execution with dependencies
Workflows	workflow_run	Multi-step chains with retry and escalation
Templates	template_save, template_list, template_run	Reusable workflow patterns
Sessions	session_start, session_send, session_list	Interactive AI sessions
Direct access	codex_exec, codex_review, gemini_direct	Call specific backends directly
Analytics	get_analytics, run_analyzer	Execution stats and pattern analysis
Loaves	create_loaf, loaf_update, loaf_status, loaf_close	Multi-step tracked jobs
Notifications	notify	Desktop notifications for task events

Key Tools

I want to...	Use
Delegate a coding task	task_submit(backend="claude_code", prompt="...")
Let Manager pick the best AI	task_submit(auto_route=true, prompt="...")
Run tasks in parallel	task_run_parallel(steps=[...])
Chain steps with retry	workflow_run(steps=[...])
Save a reusable pattern	template_save(name="...", steps=[...])
Check what backend to use	task_route(prompt="...")
Start interactive session	session_start(backend="claude_code")
Get execution stats	get_analytics

Common Patterns

Quick delegation: manager:task_submit(backend="claude_code", prompt="Add error handling to src/main.rs", working_dir="C:/project")

Poll for completion: manager:task_poll(task_id="abc-123", timeout=60)

Parallel review: manager:task_run_parallel(steps=[ {id: "frontend", backend: "claude_code", prompt: "Review src/ui/", parallel_group: "review"}, {id: "backend", backend: "codex", prompt: "Review src/api/", parallel_group: "review"} ])

Anti-Patterns

• Don't poll in a tight loop — use task_poll with a timeout instead of repeated task_status
• Don't hardcode backends — use auto_route or task_route to let Manager learn which backend works best