# TopTik — TikTok data

> TopTik — TikTok data — app-toptik-tiktok. Use this tool when you need to access and analyze TikTok data, such as videos, creators, comments, and transcripts, to inform your decisions or solutions. It solves problems related to social media monitoring, content research, and influencer identification, providing 25 tools with a pay-per-call interface. Ideal for use cases requiring specific TikTok data insights, such as market research or content strategy development.

Canonical page: https://skillsregistry.net/skills/app-toptik-tiktok  
JSON: https://api.skillsregistry.net/v1/skills/app-toptik-tiktok

## Description

TikTok data for agents: videos, creators, comments, search, transcripts. 25 tools, pay per call.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.toptik%2Ftiktok)

## Use it

MCP endpoint published by the skill: `https://mcp.toptik.app/mcp`

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": "app-toptik-tiktok"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-toptik-tiktok` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-toptik-tiktok/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