KubeBlocks Cloud MCP Server

@apecloud

Basic information

About KubeBlocks Cloud MCP Server

MCP server for KubeBlocks Cloud

KubeBlocks Cloud MCP Server 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": ""
      }
    }
  }
}

KubeBlocks Cloud MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Frequently asked questions

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

More Other MCP servers

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

ICSS

chokcoco

不止于 CSS

20.7K

Sequential Thinking

modelcontextprotocol

Model Context Protocol Servers

88.2K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K