MCP.Market

Greenlake Devices MCP server

by HewlettPackard·io.github.HewlettPackard/greenlake-devices-mcp·v1.1.2·9 stars

HPE GreenLake devices MCP Server

B83/100grade B
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Safety scan
B83/100

full report

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9 stars

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Greenlake Devices tools (9, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_endpoint_schema

    Retrieves detailed schema information for a specific devices API endpoint including parameters, request/response models, and validation rules

  • get_static_tools

    Trigger static tool registrations (one tool per endpoint).

  • get_tool_classes

    Import tool modules so that ``@mcp.tool()`` decorators fire.

  • get_tools

    Return registered tools as MCP protocol Tool objects.

  • getdevicebyidv1

    Get details on a specific device by passing its resourceId. <p><b>NOTE</b>: You need view permissions for device management to invoke this API.</p> Rate limits are enforced on this API. 40 requests per minute is supported per workspace. The API returns `429` if this threshold is breached.

  • getdevicesv1

    With this API, you can: <ul><li>Retrieve a list of devices managed in a workspace.</li> <li>Filter devices based on conditional expressions.</li></ul><p><b>NOTE</b>: You need view permissions for Devices and Subscription service to invoke this API.</p> Rate limits are enforced on this API. 160 requests per minute is supported per workspace. The API returns `429` if this threshold is breached.

  • invoke_dynamic_toolwrite action

    Executes any devices API endpoint dynamically with parameter validation and schema support

  • list_devices_items
  • list_endpoints

    Lists all available devices API endpoints with metadata (method:path, operation name, type) for fast discovery and selection. Each endpoint includes a 'type' field: 'list' for collection endpoints, 'detail' for single-resource endpoints that require path parameters.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan28 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 124 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Greenlake Devices compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 65% of 48,255 servers
Tools
9
the typical server has 7
Tools that change things
11%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
9
more than 87% of 28,688 servers

What its tools let an agent do: 8 read · 1 run or deploy

Install Greenlake Devices in Claude Code, Cursor or VS Code

claude mcp add greenlake-devices-mcp -- uvx greenlake-devices-mcp
Add to Cursor

What the publisher says

From the Greenlake Devices repository's README, as published. We do not edit it. Read it on GitHub

HPE GreenLake MCP Servers

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Greenlake Devices: common questions

Is Greenlake Devices MCP server safe?
Mostly: it is graded B (83/100). Read the Greenlake Devices safety report
How do I install Greenlake Devices?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Greenlake Devices need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Greenlake Devices maintained?
The last commit was 162 days ago (2026-05-26). The latest release is v1.1.2.
How does Greenlake Devices compare with other MCP servers?
safety score 83/100 (higher than 65% of 48,255 servers); tools 9 (the typical server has 7); tools that change things 11% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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