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KubeBlocks Cloud MCP Server

@apecloud

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

apecloud

关于 KubeBlocks Cloud MCP Server

MCP server for KubeBlocks Cloud

KubeBlocks Cloud MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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": ""
      }
    }
  }
}

KubeBlocks Cloud MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

What are the prerequisites?

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

2

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.

3

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`.

4

What transport does the server use?

The server uses StdioServer for secure communication.

5

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`.

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