# Hopsworks MCP Server

> Use this tool when you need to manage large language models (LLMs) and interact with the Hopsworks platform for tasks such as feature store operations, model lifecycle management, and job execution. It enables seamless integration and operations, solving problems related to platform management and model deployment. The tool accepts LLM inputs and outputs platform management responses, making it ideal for use cases that require automated model management and integration.

Canonical page: https://skillsregistry.net/skills/magiclex-hopsworks-mcp  
JSON: https://api.skillsregistry.net/v1/skills/magiclex-hopsworks-mcp

## Description

Enables LLMs to interact with Hopsworks for platform management, feature store operations, model lifecycle, jobs, and integrations.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p6i3lsd2j0)
- **Repository:** <https://github.com/MagicLex/hopsworks-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "magiclex-hopsworks-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/magiclex-hopsworks-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/magiclex-hopsworks-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt