Greenlake Workspaces MCP server

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

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HPE GreenLake workspaces MCP Server

B83/100grade B

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Safety scan

B83/100

full report

Adoption

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9 stars

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Greenlake Workspaces 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 workspaces 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.
get_workspace_detailed_info_workspaces_v1_workspaces_wo_5c14f2bc
Retrieve detailed workspace information.
get_workspace_workspaces_v1_workspaces_workspaceid_get
Retrieve basic workspace information for a provided workspace identifier.
invoke_dynamic_toolwrite action
Executes any workspaces API endpoint dynamically with parameter validation and schema support
list_endpoints
Lists all available workspaces 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.
list_workspaces_items

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.Rubric Appeal a finding JSON

How Greenlake Workspaces 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 Workspaces in Claude Code, Cursor or VS Code

claude mcp add greenlake-workspaces-mcp -- uvx greenlake-workspaces-mcp

Add to Cursor

What the publisher says

From the Greenlake Workspaces 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.

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 Workspaces: common questions

Is Greenlake Workspaces MCP server safe?: Mostly: it is graded B (83/100). Read the Greenlake Workspaces safety report
How do I install Greenlake Workspaces?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Greenlake Workspaces need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Greenlake Workspaces maintained?: The last commit was 162 days ago (2026-05-26). The latest release is v1.1.2.
How does Greenlake Workspaces 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.