About KubeBlocks Cloud MCP Server
KubeBlocks Cloud MCP Server connects KubeBlocks Cloud APIs to AI assistants through standardized tool calls. It supports querying and managing cloud resources, including database instances.
Key features
- 01Query organizations and environments
- 02Inspect instances and backups
- 03API key and secret authentication
- 04Translation helper support
- 05StdioServer communication
Use cases
- 01Automate KubeBlocks Cloud resource management
- 02Retrieve and analyze environment data
- 03Provision and manage database instances
MCP support
The MCP server exposes tools for accessing KubeBlocks Cloud organizations, environments, instances, and backups.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm -e KB_CLOUD_API_KEY_NAME -e KB_CLOUD_API_KEY_SECRET apecloud/kb-cloud-mcp-server:latestKB_CLOUD_API_KEY_NAMESecretKB_CLOUD_API_KEY_SECRETSecretLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEKubeBlocks 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.
Use Cases
- 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
Features
- MCP-based API for accessing KubeBlocks Cloud resources
- Secure authentication via KubeBlocks Cloud API key and secret
- Support for common KubeBlocks Cloud resources:
- Organizations
- Environments
- Instances
- Backups
- Internationalization support via translation helpers
- Secure communication through StdioServer
Prerequisites
- Go 1.20+ (compatible with the MCP-Go package)
- KubeBlocks Cloud API credentials - you'll need an API key name and secret
Installation
Build from Source
git clone https://github.com/apecloud/kb-cloud-mcp-server.git
cd kb-cloud-mcp-server
go mod tidy
go build -o kb-cloud-mcp-server ./cmd/server
Usage with VS Code
Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace to share the configuration with others.
Note that the
mcpkey is not needed in the.vscode/mcp.jsonfile.
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "kb_cloud_api_key",
"description": "KubeBlocks Cloud API Key Name",
"password": false
},
{
"type": "promptString",
"id": "kb_cloud_api_secret",
"description": "KubeBlocks Cloud API Secret",
"password": true
}
],
"servers": {
"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": "${input:kb_cloud_api_key}",
"KB_CLOUD_API_KEY_SECRET": "${input:kb_cloud_api_secret}"
}
}
}
}
}
More about using MCP server tools in VS Code's agent mode documentation.
Usage
Environment Variables
The server supports the following environment variables:
# KubeBlocks Cloud API credentials (required)
export KB_CLOUD_API_KEY_NAME=your-api-key-name
export KB_CLOUD_API_KEY_SECRET=your-api-key-secret
export KB_CLOUD_SITE=https://api.apecloud.com # Optional: KubeBlocks Cloud API endpoint
# Server configuration
export KB_CLOUD_MCP_LOG_LEVEL=info # debug, info, warn, error
export KB_CLOUD_MCP_EXPORT_TRANSLATIONS=true # Optional: Export translations to JSON file
export KB_CLOUD_DEBUG=true # Optional: Enable debug mode for KubeBlocks Cloud API client
Starting the Server
./kb-cloud-mcp-server
Or with command-line flags:
./kb-cloud-mcp-server stdio --api-key=your-api-key-name --api-secret=your-api-key-secret
Configuration File
You can also use a configuration file:
# .kb-cloud-mcp-server.yaml
log_level: info
api_key: your-api-key-name
api_secret: your-api-key-secret
site_url: https://api.apecloud.com
Then start the server with:
./kb-cloud-mcp-server stdio --config=.kb-cloud-mcp-server.yaml
Available MCP Tools
The server provides the following MCP tools for interacting with KubeBlocks Cloud resources:
Organizations
-
list_organizations - List all organizations you have access to
- No parameters required
-
get_organization - Get details of a specific organization
organizationId: Organization unique identifier (string, required)
Environments
-
list_environments - List all environments within an organization
organizationId: Organization unique identifier (string, required)
-
get_environment - Get details of a specific environment
organizationId: Organization unique identifier (string, required)environmentId: Environment unique identifier (string, required)
Instances
-
list_instances - List all instances within an environment
organizationId: Organization unique identifier (string, required)environmentId: Environment unique identifier (string, required)
-
get_instance - Get details of a specific instance
organizationId: Organization unique identifier (string, required)environmentId: Environment unique identifier (string, required)instanceId: Instance unique identifier (string, required)
Backups
-
list_backups - List all backups for an instance
organizationId: Organization unique identifier (string, required)environmentId: Environment unique identifier (string, required)instanceId: Instance unique identifier (string, required)
-
get_backup - Get details of a specific backup
organizationId: Organization unique identifier (string, required)environmentId: Environment unique identifier (string, required)instanceId: Instance unique identifier (string, required)backupId: Backup unique identifier (string, required)
Library Usage
The exported Go API of this module should currently be considered unstable and subject to breaking changes. In the future, we may offer stability; please file an issue if there is a use case where this would be valuable.
License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.