# goodmorning-mcp

> goodmorning-mcp — taostat-gm-mcp. Use this tool when you need to leverage machine learning models for inference tasks, such as querying models or listing available ones, via natural language inputs. It exposes models as callable tools, enabling coding agents to integrate AI capabilities into their workflows. Ideal for use cases requiring model-based predictions, classifications, or data analysis, with inputs including natural language queries and outputs including model responses and available model listings.

Canonical page: https://skillsregistry.net/skills/taostat-gm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/taostat-gm-mcp

## Description

Exposes models available on the gm inference gateway as callable tools, enabling coding agents to query models and list available ones via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvvzt9x7ah)
- **Repository:** <https://github.com/taostat/gm-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": "taostat-gm-mcp"
    }
  }
}
```

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