Instagram Engagement MCP
# Instagram Engagement MCP
[](https://www.npmjs.com/package/instagram-engagement-mcp)
[](https://opensource.org/licenses/MIT)
[](https://smithery.ai/server/@Bob-lance/instagram-engagement-mcp)
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](https://smithery.ai/server/@Bob-lance/instagram-engagement-mcp):
```bash
npx -y @smithery/cli install @Bob-lance/instagram-engagement-mcp --client claude
```
### Option 1: Install from npm
```bash
npm install -g instagram-engagement-mcp
```
### Option 2: Clone from GitHub
```bash
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:
```bash
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:
```bash
npm run build
```
## Configuration
Add the server to your MCP settings file:
```json
{
"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:
```json
{
"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
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: analyzing comments, comparing accounts, extracting demographics, generating reports, and identifying leads. The descriptions specify unique actions and targets, making it easy for an agent to select the right tool without confusion.
All tool names follow a consistent verb_noun pattern (e.g., analyze_post_comments, compare_accounts, extract_demographics). The naming is uniform, using snake_case throughout, which enhances readability and predictability for agents.
With 5 tools, the server is well-scoped for Instagram engagement analysis. Each tool earns its place by covering distinct aspects of the domain, avoiding bloat or thinness, making it manageable and effective for the intended purpose.
The tool set covers key engagement analysis functions like sentiment analysis, comparison, demographics, reporting, and lead identification. A minor gap exists in direct engagement actions (e.g., posting or interacting), but the surface is largely complete for analytical workflows.