# mcp-glama-demo

> Use this tool when you need to demonstrate GLAMA (Generalizable Large-scale Alignment of Multimodal Agents) capabilities, solving problems related to multimodal alignment and agent interaction. It takes in various inputs such as text, images, or audio, and outputs aligned representations, enabling applications like multimodal understanding and generation. Ideal for use cases requiring large-scale multimodal alignment and demonstration of GLAMA's potential in real-world scenarios.

Canonical page: https://skillsregistry.net/skills/dotku-mcp-samples  
JSON: https://api.skillsregistry.net/v1/skills/dotku-mcp-samples

## Description

mcp-glama-demo

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a1h4vrzq3r)
- **Repository:** <https://github.com/dotku/mcpm>

## 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": "dotku-mcp-samples"
    }
  }
}
```

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