Orchestrator Server
The MCP Orchestrator Server provides cross - instance task management and coordination functions for AI agents
rating : 2.5 points
downloads : 29
What is the MCP Orchestrator Server?
The MCP Orchestrator Server is a powerful task management tool that allows you to create, assign, and execute tasks among multiple AI instances. For example, it can help you share workflows among different AI assistants to ensure efficient collaboration.How to use the MCP Orchestrator Server?
You can start using the MCP Orchestrator Server in just a few simple steps. First, install the server software. Then, create tasks and assign them to the corresponding AI instances. Finally, monitor the task status and complete the tasks.Applicable scenarios
The MCP Orchestrator Server is very suitable for scenarios that require coordinating work across multiple AI instances, such as multilingual translation, complex data analysis, or multi - person collaborative projects.Main features
Task creation and dependency managementYou can easily create tasks and define the dependencies between them to ensure that tasks are executed in order.
Multi - instance coordinationSupports multiple AI instances to work together for efficient task distribution.
Persistent storageTask data will be securely stored on the server to ensure that the task progress can be restored even after a restart.
Task update and deletionYou can modify unfinished tasks or safely delete tasks without affecting other tasks.
Dependency loop detectionThe system will automatically check task dependencies to prevent circular dependency issues.
Advantages and limitations
Advantages
Supports seamless collaboration across multiple AI instances
Real - time tracking of task status to improve efficiency
Easy to install and use
Limitations
Has certain requirements for the network environment to ensure a stable connection
Advanced features may require additional configuration
How to use
Install the server
Run the following commands to install the MCP Orchestrator Server: `npm install` and `npm run build`.
Create a task
Create a new task by calling the `create_task()` API.
Get a task
Use the `get_next_task()` API to get the next task to be processed.
Complete a task
After the task is completed, call the `complete_task()` API to update the task status.
Usage examples
Multilingual translationUse the MCP Orchestrator Server to translate an article into multiple languages.
Data analysisLeverage multiple AI instances to analyze a large amount of data.
Frequently Asked Questions
How to install the MCP Orchestrator Server?
How to create a new task?
What if a task fails?
Related resources
Official documentation
Access the official documentation of the MCP Orchestrator Server.
GitHub code repository
View the source code of the MCP Orchestrator Server.
Quick start guide
Learn how to quickly get started with the MCP Orchestrator Server.
Featured MCP Services

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points