# PersonalizationMCP

> Use this tool when you need to create personalized interactions with users based on their online activities and preferences. It enables AI assistants to access and interact with personal data from various platforms, solving problems of generic responses and enhancing user experience. The tool takes in user IDs and platform APIs as inputs and outputs context-aware responses tailored to individual users.

Canonical page: https://skillsregistry.net/skills/yangliangwei-personalizationmcp  
JSON: https://api.skillsregistry.net/v1/skills/yangliangwei-personalizationmcp

## Description

Enables AI assistants to access and interact with personal data from platforms like Steam, YouTube, Bilibili, Spotify, and Reddit for personalized, context-aware interactions.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdiyrehqsk)
- **Repository:** <https://github.com/YangLiangwei/PersonalizationMCP>

## 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": "yangliangwei-personalizationmcp"
    }
  }
}
```

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