# Mi-Mi-Mi MCP

> Use this tool when you need to add emotional intelligence to code generation, solving the problem of dry and impersonal outputs in opencode applications. It takes user sentiment as input and generates emotional reactions, including emojis, text, and sounds, as output. Ideal for use cases where human-like interaction and emotional expression are desired, such as chatbots or virtual assistants.

Canonical page: https://skillsregistry.net/skills/chocoboy-dev-mi-mi-mi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chocoboy-dev-mi-mi-mi-mcp

## Description

Adds emotional reactions (emojis, text, sounds) to code generation in opencode, with automatic or manual selection based on user sentiment.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uixy69oru1)
- **Repository:** <https://github.com/chocoboy-dev/-Mi-Mi-Mi-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": "chocoboy-dev-mi-mi-mi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chocoboy-dev-mi-mi-mi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chocoboy-dev-mi-mi-mi-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