# style-memory-mcp

> Use this tool when you need to personalize conversational interactions with a user, adapting to their unique style, tone, and preferences. It learns from user input, such as catchphrases, dialect markers, and emoji habits, to generate tailored responses. Ideal for applications requiring customized dialogue, such as chatbots or virtual assistants, where user-specific tone and language are essential.

Canonical page: https://skillsregistry.net/skills/hexingyuofficial-style-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hexingyuofficial-style-memory-mcp

## Description

A tiny local MCP server that learns a user's conversational style, catchphrases, dialect markers, emoji habits, tone preferences, and concrete collaboration preferences without storing private memories.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m1sha209z3)
- **Repository:** <https://github.com/hexingyuofficial/style-memory-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": "hexingyuofficial-style-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hexingyuofficial-style-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hexingyuofficial-style-memory-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