| 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
