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.
@mokafari
基本信息
small MCP server for orchestrating tasks across LLM instances
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"orchestrator-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"orchestrator-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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.
It provides task management and coordination across MCP-enabled LLM instances, allowing AI agents to create, share, and execute tasks.
Install automatically via Smithery (`npx -y @smithery/cli install orchestrator-server --client claude`) or manually using `npm install` and `npm run build`.
Node.js and npm are required for manual installation. The server can be run directly via Smithery without manual setup.
It is licensed under the MIT license.
Version 1.2.0 will add task priorities, timeouts, and instance management. Version 1.3.0 will include task groups, analytics, and a dashboard.

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