# instagram-analyzer MCP

> instagram-analyzer MCP — ssangg77-instagram-analyzer-mcp. Use this tool when you need to extract visual and textual content from public Instagram posts for multimodal analysis, without incurring costs from paid vision APIs. It takes public Instagram post URLs as input and returns captions and photos as image content. Ideal for applications requiring social media data analysis, such as sentiment analysis or content moderation, in models like Claude.

Canonical page: https://skillsregistry.net/skills/ssangg77-instagram-analyzer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ssangg77-instagram-analyzer-mcp

## Description

Analyzes public Instagram post URLs, returning captions and photos as image content for multimodal models like Claude, without requiring paid vision APIs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oupojalchx)
- **Repository:** <https://github.com/SsangG77/instagram-analyzer-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": "ssangg77-instagram-analyzer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssangg77-instagram-analyzer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssangg77-instagram-analyzer-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
