KubeBlocks Cloud MCP Server
@apecloud
关于 KubeBlocks Cloud MCP Server
MCP server for KubeBlocks Cloud
基本信息
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": ""
}
}
}
}工具
未检测到工具
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
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.
其他 分类下的更多 MCP 服务器
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Codelf
unbugA search tool helps dev to solve the naming things problem.
Awesome Mcp Servers
punkpeyeA collection of MCP servers.
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
评论