Kb Cloud MCP Server

The KubeBlocks Cloud MCP Server is a service based on the Model Context Protocol (MCP) that provides seamless integration with the KubeBlocks Cloud API, enabling AI assistants to manage cloud resources through standardized tools by calling interfaces.

Cloud platform Developer tools #Cloud resource management #AI integration #Database operation and maintenance #Standardized protocol .Go

rating : 2.5 points

downloads : 14

update time : 2025-04-29

What is the KubeBlocks Cloud MCP Server?

The KubeBlocks Cloud MCP Server is a middleware service that acts as a bridge between AI assistants and the KubeBlocks cloud platform. Through the standardized Model Context Protocol (MCP) interface, it allows AI tools to automate the management of cloud database resources, such as instances, backups, and environments.

How to use the KubeBlocks Cloud MCP Server?

You can use it through a simple command-line tool or by integrating it into a development environment such as VS Code. First, you need to configure the API key, and then you can send instructions through the standard MCP protocol to manage cloud resources.

Applicable scenarios

It is suitable for scenarios that require automated management of KubeBlocks cloud resources, such as AI-assisted operations and maintenance tasks like automatically deploying database instances, monitoring backup status, and batch managing multi-environment resources.

Main features

KubeBlocks cloud integrationFully supports the KubeBlocks Cloud API and can manage core resources such as organizations, environments, instances, and backups.

MCP standard protocolAdopts the Model Context Protocol standard interface and is compatible with various AI assistants and development tools.

Secure authenticationSupports API key and key pair authentication to ensure the security of cloud resource access.

Multilingual supportBuilt-in internationalization support for easy local deployment.

Advantages and limitations

Advantages

Standardized interface, easy to integrate with various AI tools

Simplifies the management process of KubeBlocks cloud resources

Supports multiple authentication methods, high security

Lightweight deployment, low resource consumption

Limitations

Currently only supports the KubeBlocks cloud platform

Requires pre - obtaining an API key to use

Some advanced features require specific permissions

How to use

Get API credentials

Obtain the API key name and key from the KubeBlocks cloud platform

Install the server

Install through source code compilation or use a Docker image

Configure environment variables

Set the API key and other optional parameters

Start the server

Run the server program to start the service

Usage cases

Automated database deploymentThe AI assistant automatically deploys a new database instance in the specified environment through the MCP server

Backup status monitoringRegularly check the backup status of critical database instances

Multi - environment resource managementBatch manage database resources across multiple environments

Frequently Asked Questions

How to obtain an API key?

What KubeBlocks cloud resources does the server support?

Does it support simultaneous access by multiple users?

How to view more detailed logs?

Related resources

MCP Protocol official website

Official documentation of the Model Context Protocol

KubeBlocks cloud platform

KubeBlocks cloud API documentation

GitHub repository

Project source code and issue tracking

VS Code integration guide

How to use the MCP server in VS Code

🚀 KubeBlocks Cloud MCP Server

The KubeBlocks Cloud MCP Server is a server based on the Model Context Protocol (MCP), which can be smoothly integrated with the KubeBlocks Cloud API. It enables AI assistants to interact with KubeBlocks Cloud resources through standardized tool call interfaces.

🚀 Quick Start

The KubeBlocks Cloud MCP Server provides a standardized way for AI assistants to interact with KubeBlocks Cloud resources. Below are the details about its usage scenarios, features, installation, configuration, etc.

✨ Features

MCP-based API: It offers an API based on MCP for accessing KubeBlocks Cloud resources.
Secure Authentication: Achieves secure authentication through KubeBlocks Cloud API keys and secrets.
Resource Support: Supports common KubeBlocks Cloud resources, including organizations, environments, instances, and backups.
Language Translation: Provides language translation functionality (currently supports Chinese).
Documentation and Support: Offers comprehensive documentation and technical support.

📦 Installation

Prerequisites

Basic knowledge of Go programming.
A fundamental understanding of the KubeBlocks Cloud platform.
Git and a dependency management tool (e.g., Glide) installed.

Installation from Source Code

Clone the repository:

git clone https://github.com/apecloud/kb-cloud-mcp-server.git
cd kb-cloud-mcp-server

Install dependencies:

glide install

Compile and run:

go build && ./kb-mcp-server

Installation Using Docker

Pull the image:

docker pull apecloud/kb-cloud-mcp-server:latest

Run the container:

docker run -it --rm apecloud/kb-cloud-mcp-server:latest

📚 Documentation

Configuration Methods

Environment Variable Configuration

Here are some commonly used environment variables:

KB_API_KEY: KubeBlocks Cloud API access key.
KB_API_SECRET: KubeBlocks Cloud API secret key.
KB_ENDPOINT: KubeBlocks Cloud API endpoint address.
PORT: The port that the MCP server listens on, with a default value of 8080.

Configuration File Example

{
  "api_key": "your_api_key",
  "api_secret": "your_api_secret",
  "endpoint": "https://api.kubecloud.com/v1",
  "port": 8080,
  "log_level": "info"
}

Library Usage

The Go API exported by this module should currently be considered unstable and may undergo significant changes. Stability may be provided in the future; if you have use cases, please submit an issue.