MCP Cloud Pc
M

MCP Cloud Pc

An Azure Cloud PC management server based on the Microsoft Graph API, providing functions such as user list query and Cloud PC management (restart, rename, troubleshooting, etc.)
2 points
7.7K

What is the Cloud PC Management MCP Server?

The Cloud PC Management MCP Server is a tool based on the Microsoft Graph API, designed to simplify the management and operation of Azure Cloud PCs. It offers various functions, such as listing users, restarting Cloud PCs, renaming Cloud PCs, and troubleshooting.

How to use the Cloud PC Management MCP Server?

Simply configure and run the server according to simple steps, and you can start managing your Azure Cloud PCs. You can call different API interfaces through the command line to perform specific tasks.

Applicable scenarios

Suitable for enterprise IT administrators who need to efficiently manage a large number of Azure Cloud PCs, especially in a remote work environment.

Main features

List all registered users
Display information about all registered users under the current tenant.
List all Cloud PCs
Get a list of all available Cloud PCs under the current tenant.
Restart the Cloud PC with the specified ID
Restart the device by specifying the Cloud PC ID.
Rename the Cloud PC
Change the display name of a specific Cloud PC.
Troubleshoot
Perform troubleshooting on the Cloud PC with the specified ID.
End the trial period
Terminate the trial period of the specified Cloud PC.
Get the audit status
View the audit status of the specified Cloud PC.
Redeploy the Cloud PC
Reconfigure the operating system and user type of the specified Cloud PC.
Advantages
Supports multiple advanced management functions, such as troubleshooting and redeployment.
Easy to integrate into existing workflows without the need to learn complex technologies additionally.
Improves work efficiency and reduces manual operation time.
Limitations
Depends on the Microsoft Graph API and may be affected by network restrictions.
Requires pre - configuration of environment variables (such as client ID, secret key, etc.).
Some advanced functions may require subscribing to specific Azure services.

How to use

Installation and configuration
Ensure that the Python environment is installed and set the necessary environment variables (such as MSGRAPH_TENANT_ID, MSGRAPH_CLIENT_ID, MSGRAPH_CLIENT_SECRET).
Start the server
Run the MCP server script to activate the management function.
Perform management tasks
Call the corresponding API interfaces through the command line to complete specific operations.

Usage examples

List all Cloud PCs
Show all available Cloud PCs under the current tenant.
Restart a specific Cloud PC
Perform a restart operation on a Cloud PC with a specific ID.

Frequently Asked Questions

How to obtain the MSGraph - related environment variables?
Why can't I connect to the Microsoft Graph API?

Related resources

Microsoft Graph API Documentation
Official documentation to learn more about the Graph API.
GitHub Project Repository
Open - source code repository where you can contribute or report issues.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-cloud-pc": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp-cloud-pc",
        "mcp-cloud-pc.py"
      ],
      "env": {
        "MSGRAPH_TENANT_ID": "<YOUR GRAPH API TENANT ID>",
        "MSGRAPH_CLIENT_ID": "<YOUR GRAPH API CLIENT ID>",
        "MSGRAPH_CLIENT_SECRET": "<YOUR GRAPH API CLIENT SECRET>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Container Use
Container Use is an open-source tool that provides a containerized isolated environment for coding agents, supporting parallel development of multiple agents without interference.
Go
9.9K
5 points
K
Kubernetes
An MCP server based on Kubernetes for managing and operating Kubernetes clusters
TypeScript
9.7K
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
16.7K
4.8 points
A
Awslabs Cost Analysis MCP Server
The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.
Python
13.3K
5 points
D
Docker MCP
Certified
A Docker operation protocol server based on Claude AI, providing functions such as container and Compose stack creation, deployment, and log viewing.
Python
5.9K
4 points
M
MCP K8s Go
An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.
Go
10.1K
4 points
S
Solon
Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.
Java
13.2K
5 points
K
Kubectl MCP Server
The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.
Python
8.0K
4.5 points
G
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
16.6K
4.3 points
N
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
14.8K
4.5 points
M
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
23.6K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points
U
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#
19.2K
5 points
F
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
44.5K
4.5 points
M
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
30.3K
4.8 points
G
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
15.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase