topmcps
Browse MCPs

MCP Comparison · 2026

CLI Agent Orchestrator vs Shrimp Task Manager MCP Server

Comparing CLI Agent Orchestrator and Shrimp Task Manager as MCP servers? CLI Agent Orchestrator (coordinate agents) is best when supervisor-worker multi-agent coding. Shrimp Task Manager (plan & decompose tasks) is best when decomposing vague specs into dependency-tracked tasks. Both run as Model Context Protocol servers and can coexist in the same client. Updated 2026.

CLI Agent Orchestrator

CLI Agent Orchestrator

Supervisor-and-worker multi-agent coordination across coding CLIs — handoffs over MCP.

Shrimp Task Manager

Shrimp Task Manager

Turn a vague goal into a dependency-tracked task graph an agent can execute step by step.

Side-by-side specs

Pulled from each MCP's verified fact sheet.

 CLI Agent OrchestratorShrimp Task Manager
Primary functionCoordinate AgentsPlan & Decompose Tasks
MaintainerAWS Labscjo4m06 (community)
PricingOpen sourceOpen source
Setup complexityHigh · ~20 minMedium · ~15 min
Transportstdiostdio
Auth modelNoneNone
LicenseApache-2.0MIT
LanguagePythonTypeScript
Latest version2.2.0latest
Compatible clientsClaude Code, Kiro CLI, Any MCP-compatible coding CLIClaude, Claude Code, Cursor, VS Code, Any MCP-compatible client
Last verified2026-06-222026-06-22

Which one should you pick?

Decision rubric drawn from each MCP's documented strengths.

Choose CLI Agent Orchestrator

  • Supervisor-worker multi-agent coding
  • Parallelizing large builds across agents
  • Coordinating multiple coding CLIs
See full CLI Agent Orchestrator write-up →

Choose Shrimp Task Manager

  • Decomposing vague specs into dependency-tracked tasks
  • Plan-then-execute coding loops
  • Cross-session continuity on multi-step builds
See full Shrimp Task Manager write-up →

Pick something else if…

  • Single-agent tasks
  • Single-shot tasks

Feature breakdown

Key capabilities each server ships out of the box.

CLI Agent Orchestrator

  • Supervisor-worker orchestration pattern
  • Isolated tmux session per agent
  • Cross-CLI coordination (Claude Code, Kiro, others)
  • Handoff / assign / message MCP tools
  • Session lifecycle management
  • AWS Labs maintained

Shrimp Task Manager

  • Chain-of-thought planning workflow
  • Dependency tracking between tasks
  • Task decomposition into subtasks
  • Per-task completion verification
  • Persistent task graph across sessions
  • Research mode for systematic exploration

Install snippets

Open the detail page for ready-to-paste config for every major client.

Install CLI Agent Orchestrator

Setup snippets for Claude, Cursor, VS Code, Windsurf →

uv tool install git+https://github.com/awslabs/cli-agent-orchestrator.git@main --upgrade

Install Shrimp Task Manager

Setup snippets for Claude, Cursor, VS Code, Windsurf →

git clone https://github.com/cjo4m06/mcp-shrimp-task-manager && npm install && npm run build

FAQ

CLI Agent Orchestrator vs Shrimp Task Manager: which MCP server should I use?

Pick CLI Agent Orchestrator when supervisor-worker multi-agent coding. Pick Shrimp Task Manager when decomposing vague specs into dependency-tracked tasks. CLI Agent Orchestrator is built for coordinate agents, while Shrimp Task Manager focuses on plan & decompose tasks.

Can I run both CLI Agent Orchestrator and Shrimp Task Manager together?

Yes. MCP clients run each server as a separate process and surface every server's tools simultaneously, so you can install both and let your agent decide which to call. Be deliberate with auth scopes when stacking servers.

Which is easier to set up, CLI Agent Orchestrator or Shrimp Task Manager?

Shrimp Task Manager has the lighter setup. CLI Agent Orchestrator reports high complexity (~20 min); Shrimp Task Manager reports medium complexity (~15 min).

More CLI Agent Orchestrator comparisons

CLI Agent OrchestratorvsClaude Task MasterCLI Agent OrchestratorvsSequential Thinking

Browse all Agent Orchestration MCPs? See the full ranked list →