Bright8192 Esxi MCP Server
A VMware ESXi/vCenter management server based on the MCP protocol, providing a REST API management interface for virtual machines.
rating : 2.5 points
downloads : 13
What is the ESXi MCP Server?
The ESXi MCP Server is a middleware service specifically designed for VMware virtualization environments. Through standardized REST API and SSE (Server-Sent Events) technologies, it allows users to easily manage virtual machines in ESXi hosts or vCenters remotely. It encapsulates complex VMware operations into simple API calls, greatly reducing the technical threshold for virtualization management.How to use the ESXi MCP Server?
The usage process is very simple: 1) Install the necessary Python dependency packages. 2) Write the YAML configuration file. 3) Start the service. 4) Perform management operations through the HTTP API. After the service is started, it will provide RESTful interfaces. You can execute virtual machine management and monitoring operations by sending HTTP requests or using SSE connections.Applicable scenarios
It is particularly suitable for the following scenarios: DevOps teams that need to automate the management of VMware environments, enterprise IT departments that build virtualization management platforms, developers who need to integrate VMware functions into applications, and operations teams that need to remotely monitor the performance of virtual machines.Main features
Full lifecycle management of virtual machinesProvides complete management functions such as creating, cloning, deleting virtual machines and power operations, supporting complex operations to be completed through simple API calls.
Real-time performance monitoringPushes real-time data on the CPU, memory, storage and network usage of virtual machines through SSE technology to help detect performance problems in a timely manner.
Supports multiple backendsCan connect to ESXi standalone hosts and vCenter clusters simultaneously, providing a unified management interface.
Secure API accessSupports API key authentication and SSL/TLS encrypted communication to ensure the security of management operations.
Advantages and limitations
Advantages
Simplifies the management complexity of VMware environments and provides standardized API interfaces.
The real-time monitoring function helps to quickly discover and solve performance problems.
Flexible configuration method, supporting multiple configuration sources such as YAML/JSON/environment variables.
Lightweight design, low resource consumption, easy to deploy and maintain.
Limitations
Currently only supports the VMware virtualization platform and is not compatible with other virtualization technologies.
Advanced virtualization functions (such as DRS, HA) need to be managed through the vCenter native interface.
The granularity of performance monitoring data is relatively basic and is not suitable for in-depth performance analysis scenarios.
How to use
Install dependencies
Ensure that Python 3.7 or a higher version is installed on the system, and then install the necessary dependency packages.
Prepare the configuration file
Create a config.yaml file and fill in the vCenter/ESXi connection information and necessary configuration parameters.
Start the service
Run server.py using Python and specify the configuration file path.
Use the API for management
Access the API interface through HTTP requests. All privileged operations require an API key to be included in the Header.
Usage examples
Automated deployment of test environmentsThe development team can call the API in the CI/CD process to quickly create a virtual machine environment for testing and automatically destroy it after the test is completed.
Real-time monitoring of production virtual machinesThe operations team can establish an SSE connection to receive real-time performance indicators of critical business virtual machines and receive alerts in a timely manner when resources are insufficient.
Batch cloning of development environmentsQuickly prepare a standardized development environment for newly hired developers and clone it in one click based on the template virtual machine.
Frequently Asked Questions
How to obtain an API access key?
Which VMware versions are supported?
What is the update frequency of performance monitoring data?
Does it support high-availability deployment?
Related resources
Official documentation
Complete API reference and configuration guide
Example code library
Example code for calling the MCP Server API in various languages
VMware pyvmomi documentation
Documentation for the VMware Python SDK used at the underlying level
MCP protocol specification
Official specification document for the Model Control Protocol
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 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

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
87
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#
567
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
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points