# hex-mm-mcp

> Use this tool when you need to manage models using natural language interactions, enabling efficient model management through the Model Context Protocol. It solves problems related to model organization, deployment, and monitoring by providing a user-friendly interface for HexagonML ModelManager tools. This tool accepts natural language inputs and outputs model management responses, ideal for use cases where intuitive model control is required.

Canonical page: https://skillsregistry.net/skills/mizall90-mm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mizall90-mm-mcp

## Description

Enables interaction with HexagonML ModelManager tools through the Model Context Protocol, allowing management of models via natural language.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hgspyoghxg)
- **Repository:** <https://github.com/mizall90/mm-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": "mizall90-mm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mizall90-mm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mizall90-mm-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