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UCloud MCP Server

by wangrzneu

A cloud instance management server based on MCP-Go and UCloud SDK, supporting UCloud instance management through the MCP protocol.

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What is UCloud MCP Server?

UCloud MCP Server is a server application that facilitates the management of UCloud instances using the MCP protocol and UCloud SDK. It allows users to query instance information, monitor performance, and manage their UCloud resources.

How to use UCloud MCP Server?

  1. Clone the repository. 2. Configure the server using either a config.json file or environment variables with your UCloud API credentials. 3. Install dependencies using go mod download. 4. Build the service using go build -o ucloud-mcp-server. 5. Run the service using ./ucloud-mcp-server with optional flags like --config and --port.

Key features of UCloud MCP Server

  • Query instance information

  • List all instances

  • Get instance status

  • Monitor instance performance metrics

  • MCP protocol support

  • Configuration file support

Use cases of UCloud MCP Server

  • Monitoring UCloud instance performance

  • Automating UCloud instance management tasks

  • Integrating UCloud instance data into other systems

  • Centralized management of UCloud resources

  • Real-time instance status tracking

FAQ from UCloud MCP Server

How do I configure the server?

You can configure the server using either a config.json file or environment variables. The configuration file takes precedence.

What are the required dependencies?

You need Go 1.23 or higher and a UCloud account with API credentials.

How do I run the server?

After building the service, run it using ./ucloud-mcp-server. You can specify a configuration file and port using the --config and --port flags, respectively.

What kind of instance information can I retrieve?

You can retrieve detailed information about a specific instance, including basic details, configuration, current status, and resource allocation.

What monitoring metrics are available?

The system provides CPU utilization, disk I/O rates and operations, and network traffic statistics.