# douyin-favorites-mcp

> douyin-favorites-mcp — mlbb229229-create-douyin-favorites-mcp. Use this tool when you need to access and retrieve your personal Douyin favorites and collection folders for AI-powered analysis or processing. It solves the problem of manually extracting video and collection data from Douyin by providing a logged-in browser session interface to list and retrieve relevant information. The tool takes a logged-in browser session as input and outputs video and collection data for use in AI assistants.

Canonical page: https://skillsregistry.net/skills/mlbb229229-create-douyin-favorites-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mlbb229229-create-douyin-favorites-mcp

## Description

MCP server that reads your personal Douyin favorites and collection folders via a logged-in browser session, providing tools to list and retrieve video/collection data for AI assistants.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lhjhi2vm81)
- **Repository:** <https://github.com/mlbb229229-create/douyin-favorites-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": "mlbb229229-create-douyin-favorites-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlbb229229-create-douyin-favorites-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlbb229229-create-douyin-favorites-mcp/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