# datalikers-mcp

> datalikers-mcp — subzeroid-datalikers-mcp. Use this tool when you need to leverage 29 Instagram and TikTok data tools through a thin stdio proxy, solving data integration and analysis problems for social media platforms. It accepts input from various coding interfaces, including Claude Code and OpenAI Codex, and provides output in a standardized format. Use it in contexts where you require streamlined access to social media data analytics, such as market research or influencer tracking.

Canonical page: https://skillsregistry.net/skills/subzeroid-datalikers-mcp  
JSON: https://api.skillsregistry.net/v1/skills/subzeroid-datalikers-mcp

## Description

MCP server for DataLikers — 29 Instagram & TikTok data tools. Thin stdio proxy. Use from Claude Code, Claude Desktop, Cursor, OpenAI Codex, Zed, Windsurf.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** social-media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/subzeroid/datalikers-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": "subzeroid-datalikers-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/subzeroid-datalikers-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/subzeroid-datalikers-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