# Instagram & Threads

> Use this tool when you need to manage and publish content across Instagram and Threads, solving problems such as streamlining social media management and tracking engagement metrics. It provides 57 tools for publishing various content types, managing comments and DMs, and analyzing account performance, with inputs including media files and text, and outputs including published posts and analytics data. Use it to simplify cross-platform content publishing and tracking, with built-in rate limit tracking to ensure seamless integration.

Canonical page: https://skillsregistry.net/skills/mikusnuz-meta  
JSON: https://api.skillsregistry.net/v1/skills/mikusnuz-meta

## Description

Comprehensive integration with Instagram Graph API v25.0 and Threads API providing 57 tools for publishing photos, videos, reels, stories, and carousels with alt text across both platforms. Manage comments, DMs, engagement metrics, and account analytics. Supports polls, GIFs, topic tags, link attachments, and cross-platform content publishing with built-in rate limit tracking.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mikusnuz-meta)
- **Repository:** <https://github.com/mikusnuz/meta-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": "mikusnuz-meta"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mikusnuz-meta` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mikusnuz-meta/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
