hewlettpackard/gl-mcp

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A collection of Model Context Protocol (MCP) servers that enable AI assistants to interact with HPE GreenLake platform services.

概览

A collection of Model Context Protocol (MCP) servers that enable AI assistants to interact with HPE GreenLake platform services. The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This repository contains production-ready MCP servers for HPE GreenLake platform services. Each server provides AI assistants with secure, read-only access to specific GreenLake APIs, enabling natural language interactions with your HPE infrastructure.

README

以下为原文 README 节选，完整内容请查看原文。

HPE GreenLake MCP Servers

A collection of Model Context Protocol (MCP) servers that enable AI assistants to interact with HPE GreenLake platform services.

What is the Model Context Protocol?
What’s in this Repository?
Available MCP Servers
Quick Start
MCP Client Configuration
Tool Modes
Architecture Overview
Security Considerations
Troubleshooting
Getting Help
Resources
License

What is the Model Context Protocol?

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

What’s in this Repository?

This repository contains production-ready MCP servers for HPE GreenLake platform services. Each server provides AI assistants with secure, read-only access to specific GreenLake APIs, enabling natural language interactions with your HPE infrastructure.

Key Features

Standardized Architecture: All servers follow consistent patterns for authentication, configuration, and error handling
OAuth2 Authentication: Secure access using HPE GreenLake workspace credentials with automatic token management
Dual Tool Modes: Each server supports both static (individual tools per endpoint) and dynamic (meta-tools) operation modes
Type-Safe: Built with Pydantic models for runtime validation and type safety
Production Ready: Comprehensive logging, error handling, and Docker support
Well Tested: Extensive unit and integration test coverage

Available MCP Servers

Service	Category	Description	Key Capabilities

在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手？先看 mcpskill.org 教程 →

配置

{
  "mcpServers": {
    "greenlake-audit-logs": {
      "command": "uv",
      "args": ["run", "python", "-m", "greenlake_audit_logs_mcp"],
      "cwd": "/path/to/gl-mcp/src/audit-logs",
      "env": {
        "GREENLAKE_API_BASE_URL": "https://global.api.greenlake.hpe.com",
        "GREENLAKE_CLIENT_ID": "your-client-id",
        "GREENLAKE_CLIENT_SECRET": "your-client-secret",
        "GREENLAKE_WORKSPACE_ID": "your-workspace-id"
      }
    },
    "greenlake-devices": {
      "command": "uv",
      "args": ["run", "python", "-m", "greenlake_devices_mcp"],
      "cwd": "/path/to/gl-mcp/src/devices",
      "env": {
        "GREENLAKE_API_BASE_URL": "https://global.api.greenlake.hpe.com",
        "GREENLAKE_CLIENT_ID": "your-client-id",
        "GREENLAKE_CLIENT_SECRET": "your-client-secret",
        "GREENLAKE_WORKSPACE_ID": "your-workspace-id"
      }
    }
  }
}