# com.instaseer/mcp

> com.instaseer/mcp — com-instaseer-mcp. Use this tool when you need to analyze audience engagement on social media platforms like Instagram, TikTok, and Facebook. It provides insights into public post timelines, engagement metrics, and follower counts, helping solve problems related to understanding audience behavior and optimizing content strategy. Ideal for use cases requiring data-driven decisions on social media marketing and content creation.

Canonical page: https://skillsregistry.net/skills/com-instaseer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-instaseer-mcp

## Description

Instagram/TikTok/Facebook audience analysis: public post timelines, engagement, follower counts.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.instaseer%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://www.instaseer.com/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": "com-instaseer-mcp"
    }
  }
}
```

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