# Emojikey (via Supabase)

> Use this tool when you need to persist and manage personalized AI interaction styles across multiple conversations or sessions. It solves problems of inconsistent user experiences by storing and retrieving interaction patterns or personas using emojikeys, integrated with Supabase for seamless data storage and retrieval. The Emojikey server provides a standardized interface for managing these styles, making it ideal for applications like customer support chatbots, virtual assistants, or other AI systems requiring distinct communication styles.

Canonical page: https://skillsregistry.net/skills/identimoji-emojikey  
JSON: https://api.skillsregistry.net/v1/skills/identimoji-emojikey

## Description

This MCP server, developed by Identimoji, provides a mechanism for persisting LLM interaction styles using emojikeys. It integrates with Supabase for data storage and retrieval, allowing AI assistants to save and recall specific interaction patterns or personas. The server exposes a standardized interface for managing emojikey-based styles, abstracting the complexities of database operations. By enabling the persistence of interaction styles, this implementation facilitates consistent user experiences across multiple conversations or sessions. It is particularly useful for applications requiring personalized AI interactions, such as customer support chatbots, virtual assistants, or any AI system that needs to maintain distinct communication styles for different contexts or users.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/identimoji-emojikey)
- **Repository:** <https://github.com/identimoji/mcp-server-emojikey>

## 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": "identimoji-emojikey"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/identimoji-emojikey` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/identimoji-emojikey/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