Greenlake Reporting MCP server
HPE GreenLake reporting MCP Server
9 stars35 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Greenlake Reporting tools (9, 1 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
get_endpoint_schemaRetrieves detailed schema information for a specific reporting API endpoint including parameters, request/response models, and validation rules
get_static_toolsTrigger static tool registrations (one tool per endpoint).
get_tool_classesImport tool modules so that ``@mcp.tool()`` decorators fire.
get_toolsReturn registered tools as MCP protocol Tool objects.
getreportingstatusbyidRetrieve the status of a specific report by passing the report status ID.
getreportingstatusesThis API is designed to fetch the status of all reports for a specific workspace. Only reports belonging to the workspace ID and username are returned. This API supports pagination, allowing you to use offset and limit parameters.
invoke_dynamic_toolwrite actionExecutes any reporting API endpoint dynamically with parameter validation and schema support
list_endpointsLists all available reporting 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_reporting_items
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- 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
How Greenlake Reporting 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
- Downloads a week
- 35
- more than 25% of 12,191 servers with a package
What its tools let an agent do: 8 read · 1 run or deploy
Install Greenlake Reporting in Claude Code, Cursor or VS Code
claude mcp add greenlake-reporting-mcp -- uvx greenlake-reporting-mcp
What the publisher says
From the Greenlake Reporting 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 Reporting: common questions
- Is Greenlake Reporting MCP server safe?
- Mostly: it is graded B (83/100). Read the Greenlake Reporting safety report
- How do I install Greenlake Reporting?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Greenlake Reporting need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Greenlake Reporting maintained?
- The last commit was 162 days ago (2026-05-26). The latest release is v1.1.2.
- How does Greenlake Reporting 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.