search-webanalytics-data

Instagram Engagement

by bob-lance

Unlock Instagram insights to boost advertising and marketing services. Analyze interactions for better IG engagement and

Enables detailed Instagram interaction analysis by processing comments, user profiles, and post metrics to extract demographic insights and identify potential marketing leads through a private API integration.

github stars

41

Private API integration for detailed data accessLead identification from engagement patterns

best for

  • / Social media marketers analyzing competitor engagement
  • / Businesses identifying potential customers from Instagram activity
  • / Marketing agencies conducting demographic research

capabilities

  • / Analyze post comments for sentiment and themes
  • / Compare engagement metrics across Instagram accounts
  • / Extract demographic insights from user interactions
  • / Identify potential leads based on engagement patterns
  • / Generate comprehensive engagement reports

what it does

Analyzes Instagram posts and accounts to extract engagement metrics, demographic insights, and identify potential marketing leads through comment and profile analysis.

about

Instagram Engagement is a community-built MCP server published by bob-lance that provides AI assistants with tools and capabilities via the Model Context Protocol. Unlock Instagram insights to boost advertising and marketing services. Analyze interactions for better IG engagement and It is categorized under search web, analytics data.

how to install

You can install Instagram Engagement in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Instagram Engagement is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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

FAQ

What is the Instagram Engagement MCP server?
Instagram Engagement is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Instagram Engagement?
This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.427 reviews
  • Advait Li· Dec 20, 2024

    Instagram Engagement reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Lucas Diallo· Dec 16, 2024

    I recommend Instagram Engagement for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Hiroshi Desai· Nov 11, 2024

    Useful MCP listing: Instagram Engagement is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Layla Li· Nov 7, 2024

    We evaluated Instagram Engagement against two servers with overlapping tools; this profile had the clearer scope statement.

  • Zara Khan· Oct 26, 2024

    Useful MCP listing: Instagram Engagement is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chinedu Tandon· Oct 2, 2024

    We evaluated Instagram Engagement against two servers with overlapping tools; this profile had the clearer scope statement.

  • Yash Thakker· Sep 21, 2024

    Strong directory entry: Instagram Engagement surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Rahul Santra· Sep 21, 2024

    Instagram Engagement is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Isabella Huang· Sep 5, 2024

    According to our notes, Instagram Engagement benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Aug 12, 2024

    Instagram Engagement has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

showing 1-10 of 27

1 / 3