MCP Orchestrator Server
Servidor del orquestador MCP
El servidor MCP Orchestrator proporciona funciones de gestión y coordinación de tareas en instancias LLM compatibles con MCP, como Claude Desktop o Cline. En resumen, permite a los agentes de IA crear, compartir y ejecutar tareas en distintas instancias.
Características
Versión 1.1.0
Actualizaciones de tareas : modificar tareas pendientes
Eliminación segura : eliminar tareas con comprobaciones de dependencia
Detección de ciclos : previene ciclos de dependencia
Listado de herramientas : documentación completa de herramientas
Gestión de estados mejorada : transiciones de estados de tareas mejoradas
Características principales
Creación de tareas con dependencias
Coordinación de múltiples instancias
Almacenamiento de tareas persistentes
Cumplimiento de la dependencia
Seguimiento del estado de las tareas
Related MCP server: task-orchestrator-mcp
Instalación
Instalación mediante herrería
Para instalar Orchestrator Server para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install orchestrator-server --client claudeInstalación manual
npm install
npm run buildUso
Crear una tarea
await create_task({
id: 'setup',
description: 'Initial setup'
});Obtener la siguiente tarea
const task = await get_next_task({
instance_id: 'worker-1'
});Completar tarea
await complete_task({
task_id: 'setup',
instance_id: 'worker-1',
result: 'System initialized'
});Documentación
Hoja de ruta
Versión 1.2.0
Prioridades de tareas
Tiempos de espera
Gestión de instancias
Versión 1.3.0
Grupos de trabajo
Analítica
Panel
Licencia
Available Tools
7 toolscomplete_taskC
Mark a task as completed
Inputs: task_id (required), instance_id (required), result (required).
create_taskC
Create a new task
Inputs: id (required), description (required), dependencies.
delete_taskA
Delete a task if it has no dependents
Inputs: task_id (required).
get_next_taskC
Get the next available task
Inputs: instance_id (required).
get_task_detailsC
Get details of a specific task
Inputs: task_id (required).
get_task_statusC
Get status of all tasks
Inputs: no named parameters.
update_taskC
Update an existing pending task
Inputs: task_id (required), description, dependencies.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 7 tools
Every tool has a clearly distinct purpose with no ambiguity. The tools target specific actions like creating, updating, deleting, completing, and retrieving tasks, with clear boundaries between them. For example, get_task_details and get_task_status serve different retrieval functions, and delete_task has a specific condition that distinguishes it.
All tool names follow a consistent verb_noun pattern throughout, such as create_task, update_task, and get_task_details. There are no deviations in naming conventions, making the set predictable and easy to understand for an agent.
With 7 tools, the count is well-scoped for a task management server, covering essential CRUD operations and status checks. Each tool earns its place by addressing a specific aspect of task handling, without being overly sparse or bloated.
The tool surface provides complete CRUD/lifecycle coverage for task management, including creation, retrieval, updating, deletion, completion, and status monitoring. There are no obvious gaps, and agents can perform all necessary operations without dead ends.
Maintenance
Related MCP Connectors
Zoom Tasks server for creating, updating, assigning, and synchronizing task workflows.
Task manager for AI agents. Orchestrate agents to achieve large goals in unified control plane.
Hosted MCP server for task-first delegation to remote workstations and workers.
Shared task layer for AI agents: tasks, handoffs and decisions that persist across tools.
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