MCP Orchestrator Server

@mokafari

Basic information

About MCP Orchestrator Server

small MCP server for orchestrating tasks across LLM instances

MCP Orchestrator Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "orchestrator-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "orchestrator-server",
        "--client",
        "claude"
      ]
    }
  }
}

MCP Orchestrator Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is MCP Orchestrator Server?

The MCP Orchestrator Server provides task management and coordination capabilities across MCP enabled LLM instances like Claude Desktop or Cline. In simpler terms, it allows AI agents to create, share, and execute tasks across instances.

How to use MCP Orchestrator Server?

Install via Smithery (npx -y @smithery/cli install orchestrator-server --client claude) or manually (npm install then npm run build). Use tools like create_task, get_next_task, and complete_task with the provided API parameters.

Key features of MCP Orchestrator Server

Task creation with dependencies
Multi-instance coordination
Persistent task storage
Dependency enforcement and cycle detection
Task status tracking and state management
Safe deletion with dependency checks
Task updates for pending tasks

Use cases of MCP Orchestrator Server

Coordinating work across multiple Claude Desktop or Cline instances
Creating and managing sequential tasks with dependencies
Distributing tasks to worker instances and collecting results
Tracking progress of multi-step AI agent workflows
Enforcing task ordering and preventing cyclic dependencies

Frequently asked questions

What is MCP Orchestrator Server used for?

It provides task management and coordination across MCP-enabled LLM instances, allowing AI agents to create, share, and execute tasks.

How do I install MCP Orchestrator Server?

Install automatically via Smithery (`npx -y @smithery/cli install orchestrator-server --client claude`) or manually using `npm install` and `npm run build`.

What dependencies are required to run MCP Orchestrator Server?

Node.js and npm are required for manual installation. The server can be run directly via Smithery without manual setup.

What license does MCP Orchestrator Server use?

It is licensed under the MIT license.

What are the planned features for future versions?

Version 1.2.0 will add task priorities, timeouts, and instance management. Version 1.3.0 will include task groups, analytics, and a dashboard.

Comments

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