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2025-04-09

📢 Instagram MCP Server: un poderoso servidor de protocolo de contexto modelo (MCP) para rastrear la participación de Instagram, generar clientes potenciales y analizar los comentarios de la audiencia.

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Instagram Engagement MCP

npm version License: MIT smithery badge

An MCP server that provides tools for analyzing Instagram engagement metrics, extracting demographic insights, and identifying potential leads from Instagram posts and accounts.

Features

  • Analyze Post Comments: Extract sentiment, themes, and potential leads from comments on Instagram posts
  • Compare Accounts: Compare engagement metrics across different Instagram accounts
  • Extract Demographics: Get demographic insights from users engaged with a post or account
  • Identify Leads: Find potential leads based on engagement patterns and criteria
  • Generate Engagement Reports: Create comprehensive reports with actionable insights

Installation

Installing via Smithery

To install Instagram Engagement Analysis for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @Bob-lance/instagram-engagement-mcp --client claude

Option 1: Install from npm

npm install -g instagram-engagement-mcp

Option 2: Clone from GitHub

git clone https://github.com/Bob-lance/instagram-engagement-mcp.git
cd instagram-engagement-mcp
npm install

Setup

  1. Copy the .env.example file to .env and add your Instagram credentials:
    cp .env.example .env
    
  2. Edit the .env file with your Instagram username and password

Building from Source

If you cloned the repository, build the project:

npm run build

Configuration

Add the server to your MCP settings file:

{
  "mcpServers": {
    "instagram-engagement": {
      "command": "npx",
      "args": ["instagram-engagement-mcp"],
      "env": {
        "INSTAGRAM_USERNAME": "your_instagram_username",
        "INSTAGRAM_PASSWORD": "your_instagram_password"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

If you cloned the repository instead of installing from npm, use:

{
  "mcpServers": {
    "instagram-engagement": {
      "command": "node",
      "args": ["/path/to/instagram-engagement-mcp/build/index.js"],
      "env": {
        "INSTAGRAM_USERNAME": "your_instagram_username",
        "INSTAGRAM_PASSWORD": "your_instagram_password"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Tools

analyze_post_comments

Analyze comments on an Instagram post to identify sentiment, themes, and potential leads.

Parameters:

  • postUrl (required): URL of the Instagram post to analyze
  • maxComments (optional): Maximum number of comments to analyze (default: 100)

compare_accounts

Compare engagement metrics across different Instagram accounts.

Parameters:

  • accounts (required): List of Instagram account handles to compare
  • metrics (optional): Metrics to compare (default: all)

extract_demographics

Extract demographic insights from users engaged with a post or account.

Parameters:

  • accountOrPostUrl (required): Instagram account handle or post URL to analyze
  • sampleSize (optional): Number of users to sample for demographic analysis (default: 50)

identify_leads

Identify potential leads based on engagement patterns.

Parameters:

  • accountOrPostUrl (required): Instagram account handle or post URL to analyze
  • criteria (optional): Criteria for identifying leads

generate_engagement_report

Generate a comprehensive engagement report for an Instagram account.

Parameters:

  • account (required): Instagram account handle
  • startDate (optional): Start date for the report (YYYY-MM-DD)
  • endDate (optional): End date for the report (YYYY-MM-DD)

Notes

  • This server uses the Instagram Private API, which is not officially supported by Instagram
  • Use responsibly and in accordance with Instagram's terms of service
  • Be aware of rate limits to avoid being blocked by Instagram

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    Reviews

    5 (1)
    Avatar
    user_4VZM1Jmi
    2025-04-15

    I've been using the Aleph-10: Vector Memory MCP Server for several months, and it has revolutionized my workflow. The efficiency and speed of vector memory access are unparalleled, improving my computational tasks significantly. The server's stability and reliability are top-notch, making it a critical part of my setup. Thanks to bjkemp for this innovative product. Highly recommended! Check it out here: https://mcp.so/server/aleph-10/bjkemp