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  1. Home
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  3. Greenlake Audit Logs MCP
Greenlake Audit Logs MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 4:03:22 PM

Greenlake Audit Logs MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository9 GitHub StarsTotal stargazers on GitHub for the source repository (9 stars).Visit Website

HPE GreenLake audit-logs MCP Server

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for greenlake-audit-logs-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (6) Directory Badge Claim listing AlternativesπŸ”’ More in Security

Capabilities & Tool Schemas (6) ~85 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Greenlake Audit Logs MCP.

Type-safe

Explicit tool definitions with compile-time validation

Discoverable

Tools appear individually in MCP client interfaces

Meta-tools

3 generic tools that can handle any API endpoint

list_endpoints

Discover available API endpoints

get_endpoint_schema

Get detailed schema information

invoke_dynamic_tool

Execute API calls with runtime validation

Documentation Overview

HPE GreenLake MCP Servers

License Python Versions Code style: ruff Security Policy CI Status

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

Table of Contents

  • 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

ServiceCategoryDescriptionKey Capabilities
DevicesInfrastructure & PlatformManage and query HPE GreenLake devices in your workspaceFilter by type, serial number, tags; retrieve device details by ID
WorkspacesInfrastructure & PlatformInteract with HPE GreenLake workspace management APIsList/query workspaces; retrieve details and configurations
SubscriptionsInfrastructure & PlatformAccess subscription information and licensing detailsView active subscriptions; query licensing; monitor subscription status
Audit LogsSecurity & ComplianceQuery and analyze HPE GreenLake audit logsFilter by category, user, timestamp; track user activities and system events
UsersUser & Access ManagementManage user accounts and access controlsList/query users; view permissions; monitor user activity
ReportingReporting & AnalyticsGenerate and retrieve reports on workspaces, devices, and subscriptionsCustomizable report types; async report tracking; date range and column filters
Service CatalogInfrastructure & PlatformAccess service catalog and provisioning informationView service offers, provisions, managers, manager-provisions and regions

Quick Start

Prerequisites

  • Python 3.10 or higher
  • uv package manager
  • HPE GreenLake workspace with API credentials

Configuration

All servers require the following HPE GreenLake credentials:

server.ts
export GREENLAKE_API_BASE_URL="https://global.api.greenlake.hpe.com"
export GREENLAKE_CLIENT_ID="your-client-id"
export GREENLAKE_CLIENT_SECRET="your-client-secret"
export GREENLAKE_WORKSPACE_ID="your-workspace-id"

Running a Server

bash
# Navigate to a server directory
cd src/audit-logs

# Install dependencies
uv sync

# Run the server
uv run python -m greenlake_audit_logs_mcp

MCP Client Configuration

Claude Desktop

Add servers to your claude_desktop_config.json:

config.json
{
  "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"
      }
    }
  }
}

Other MCP Clients

These servers use the standard stdio transport and work with any MCP-compatible client. See individual server READMEs for specific configuration examples.

Tool Modes

All servers support two operation modes that can be switched at runtime using the MCP_TOOL_MODE environment variable:

Static Mode (Default)

  • Individual tools: Each API endpoint becomes a dedicated MCP tool
  • Type-safe: Explicit tool definitions with compile-time validation
  • Discoverable: Tools appear individually in MCP client interfaces
  • Best for: Smaller APIs and focused workflows
server.ts
export MCP_TOOL_MODE=static

Dynamic Mode

  • Meta-tools: 3 generic tools that can handle any API endpoint
    • list_endpoints - Discover available API endpoints
    • get_endpoint_schema - Get detailed schema information
    • invoke_dynamic_tool - Execute API calls with runtime validation
  • Memory efficient: Lower overhead for large APIs
  • Best for: Large APIs with many endpoints
server.ts
export MCP_TOOL_MODE=dynamic

Compatibility Matrix

Python VersionStatusNotes
3.12βœ… SupportedRecommended
3.11βœ… SupportedRecommended
3.10βœ… SupportedMinimum version

Architecture Overview

High-Level Architecture

mermaid
flowchart TB
    subgraph clients["<b> MCP Clients </b>"]
        direction TB
        claude["Claude Desktop"]
        vscode["VS Code"]
        other["..."]
    end

    subgraph servers["<b> MCP Servers </b>"]
        direction TB
        audit["Audit Logs"]
        devices["Devices"]
        users["Users"]
        workspaces["Workspaces"]
        subscriptions["Subscriptions"]
        reporting["Reporting"]
        serviceX["..."]
        
        subgraph shared["<i> Shared Components </i>"]
            direction LR
            oauth["OAuth2 Token Manager<br/>(with caching)"]
        end
    end

    subgraph platform["<b>&nbsp; HPE GreenLake Platform &nbsp;</b>"]
        direction TB
        api["APIs"]
    end

    clients ==>|JSON-RPC/stdio| servers
    servers ==>|HTTPS/REST + OAuth2| platform

    classDef clientStyle fill:#2196F3,stroke:none,color:#fff,rx:10,ry:10
    classDef serverStyle fill:#4CAF50,stroke:none,color:#fff,rx:10,ry:10
    classDef authStyle fill:#FF9800,stroke:none,color:#fff,rx:10,ry:10
    classDef platformStyle fill:#01a982,stroke:none,color:#fff,rx:10,ry:10
    classDef clientContainerStyle fill:none,stroke:#2196F3,stroke-width:3px,rx:15,ry:15
    classDef serverContainerStyle fill:none,stroke:#4CAF50,stroke-width:3px,rx:15,ry:15
    classDef authContainerStyle fill:none,stroke:#FF9800,stroke-width:2px,stroke-dasharray:5 5,rx:10,ry:10
    classDef platformContainerStyle fill:none,stroke:#01a982,stroke-width:3px,rx:15,ry:15
    
    class claude,vscode,other clientStyle
    class audit,devices,users,workspaces,subscriptions,reporting,serviceX serverStyle
    class oauth authStyle
    class api platformStyle
    class clients clientContainerStyle
    class servers serverContainerStyle
    class shared authContainerStyle
    class platform platformContainerStyle

Request Flow

  1. Client Request: MCP client sends tool invocation via JSON-RPC over stdio
  2. Authentication: Server authenticates with HPE GreenLake using OAuth2 (tokens cached and auto-refreshed)
  3. API Call: Server makes authenticated HTTPS request to GreenLake API
  4. Response: Server processes response and returns data to client via MCP protocol

Shared Components

All servers share a common architecture:

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
9
Stargazers on the source repository.
Last commit
4mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Greenlake Audit Logs MCP

We don't have a confirmed install command for greenlake-audit-logs-mcp yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/HewlettPackard/gl-mcp) for the current steps.

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Technical Specs & Signals

CategoryπŸ”’Security
More technical detailsExpand β–Ύ
Last updatedMay 26, 2026
7/7 checks healthy over the last 45d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars9
GitHub Star CountTotal stargazers on GitHub representing community popularity (9 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 26, 2026
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools18/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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