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KubeBlocks Cloud MCP Server

@apecloud

Repository

About KubeBlocks Cloud MCP Server

MCP server for KubeBlocks Cloud

Basic information

Category

Other

License

MIT

Runtime

go

Transports

stdio

Publisher

apecloud

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kbcloud": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "KB_CLOUD_API_KEY_NAME",
        "-e",
        "KB_CLOUD_API_KEY_SECRET",
        "apecloud/kb-cloud-mcp-server:latest"
      ],
      "env": {
        "KB_CLOUD_API_KEY_NAME": "",
        "KB_CLOUD_API_KEY_SECRET": ""
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is KubeBlocks Cloud MCP Server?

The KubeBlocks Cloud MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with KubeBlocks Cloud APIs, enabling AI assistants to interact with KubeBlocks Cloud resources through a standardized tool-calling interface.

How to use KubeBlocks Cloud MCP Server?

Install by building from source (Go 1.20+) or using the Docker image. Set the required environment variables KB_CLOUD_API_KEY_NAME and KB_CLOUD_API_KEY_SECRET, then start the server with ./kb-cloud-mcp-server. Optionally, configure via command-line flags or a YAML configuration file. Use in VS Code by adding the provided JSON block to user or workspace settings.

Key features of KubeBlocks Cloud MCP Server

  • MCP-based API for accessing KubeBlocks Cloud resources
  • Secure authentication via KubeBlocks Cloud API key and secret
  • Support for Organizations, Environments, Instances, and Backups
  • Internationalization support via translation helpers
  • Configurable logging levels and debug mode
  • Deployable from source or as a Docker container

Use cases of KubeBlocks Cloud MCP Server

  • Automating KubeBlocks Cloud resource management
  • Retrieving and analyzing data from KubeBlocks Cloud environments
  • Building AI-powered tools that interact with the KubeBlocks Cloud ecosystem
  • Enabling AI assistants to provision and manage database instances

FAQ from KubeBlocks Cloud MCP Server

What are the prerequisites?

Go 1.20+ and KubeBlocks Cloud API credentials (an API key name and secret) are required.

How do I authenticate with KubeBlocks Cloud?

Set the environment variables KB_CLOUD_API_KEY_NAME and KB_CLOUD_API_KEY_SECRET, or provide them via command-line flags (--api-key, --api-secret) or in a YAML configuration file.

What resources can I manage with the MCP tools?

You can list and get details for Organizations, Environments, Instances, and Backups. The exact tools are: list_organizations, get_organization, list_environments, get_environment, list_instances, get_instance, list_backups, and get_backup.

What transport does the server use?

The server uses StdioServer for secure communication.

Is there a configuration file option?

Yes, you can use a YAML file (e.g., .kb-cloud-mcp-server.yaml) to set log level, API key, secret, and site URL, then start with --config=.kb-cloud-mcp-server.yaml.

Comments

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