# omoshiro-mcp

> omoshiro-mcp — take-code-0427-omoshiro-mcp. Use this tool when you need to analyze and understand the interestingness of content without relying on scoring systems. Omoshiro-mcp provides evaluation lenses and conceptual boundaries to assess humor, curiosity, and suspense, enabling AI to make nuanced judgments about engaging content. It accepts text or multimedia inputs and outputs detailed evaluations of interestingness factors, making it ideal for applications in content recommendation, creative writing, and user experience design.

Canonical page: https://skillsregistry.net/skills/take-code-0427-omoshiro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/take-code-0427-omoshiro-mcp

## Description

Research-grounded MCP server that provides evaluation lenses and conceptual boundaries for analyzing interestingness, enabling AI to assess humor, curiosity, and suspense without scoring content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x65eqgkq23)
- **Repository:** <https://github.com/take-code-0427/omoshiro-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": "take-code-0427-omoshiro-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/take-code-0427-omoshiro-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/take-code-0427-omoshiro-mcp/pull`

---
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