Instagram Analytics

by duhlink

27 stars

1.5k downloads

Not rated

GitHub

About

Integrates with Instagram's API and web scraping tools to enable social media analytics, account management, and content strategy insights.

Details

Author: duhlink
Repository: duhlink/instagram-server-next-mcp
GitHub stars: 27
Downloads: 1,450
Categories: Developer Tools, File Management, AI, Community, Media, Search, API, Infrastructure, Other
Tags: #data-science, #analytics

- Modular architecture with clear separation of concerns
- Type-safe implementation using TypeScript
- Improved error handling and logging
- Configurable through environment variables
- JSON-RPC 2.0 compliant communication
- Automatic media downloading and metadata generation
- SEO-friendly description generation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Instagram Analytics

Command (node, npx, python, etc.) npx
Arguments
- Argument 1 -y
- Argument 2 @highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "/c",
                "npx",
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "cmd"
        }
    }
}

JSON

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

From the repository

1. Install dependencies:

   npm install

2. Build the server:

   npm run build

3. Run the server:

   CHROME_USER_DATA_DIR=/path/to/chrome/profile npm start

`get_instagram_posts`

Fetches recent posts from an Instagram profile. Parameters: username (required, string): Instagram username to fetch posts from, limit (optional, string): Number of posts to fetch (1-50) or 'all', saveDir (optional, string): Directory to save media files and metadata, delayBetweenPosts (optional, number): Milliseconds to wait between processing posts.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "instagram analytics": {
            "env": {},
            "args": [
                "-y",
                "@highlight/mcp-server"
            ],
            "command": "npx"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Macos

{
    "env": [],
    "args": [
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "npx"
}

Windows

{
    "env": [],
    "args": [
        "/c",
        "npx",
        "-y",
        "@highlight/mcp-server"
    ],
    "command": "cmd"
}

Instagram MCP Server

A Model Context Protocol (MCP) server for fetching Instagram posts using Chrome's existing login session.

Features

Architecture

The server follows a modular architecture with the following structure:

src/ ├── core/ # Core MCP functionality │ ├── mcp/ # MCP server implementation │ │ ├── server.ts # Server class │ │ ├── stdio.ts # StdioServerTransport │ │ └── index.ts # Barrel exports │ ├── types/ # Core type definitions │ │ └── mcp.ts # MCP types │ └── utils/ # Utility functions │ ├── config.ts # Configuration management │ └── errors.ts # Error handling ├── features/ # Feature modules │ └── instagram/ # Instagram feature │ ├── types.ts # Instagram types │ ├── utils/ # Feature utilities │ │ ├── media.ts # Media handling │ │ ├── post.ts # Post processing │ │ └── seo.ts # SEO generation │ └── instagram.service.ts # Instagram service ├── services/ # Shared services │ └── browser/ # Browser service │ ├── types.ts # Browser types │ └── browser.service.ts # Browser service ├── index.ts # Entry point └── server.ts # Main server class

Configuration

The server requires the following environment variables:

- CHROME_USER_DATA_DIR: Path to Chrome user data directory containing login session

Additional configuration options are available through the config manager:

- Browser settings (viewport, timeouts)
- Instagram settings (delays, batch sizes)
- Save directory and file paths

Usage

1. Install dependencies:

   npm install

2. Build the server:

   npm run build

3. Run the server:

   CHROME_USER_DATA_DIR=/path/to/chrome/profile npm start

Available Tools

get_instagram_posts

Fetches recent posts from an Instagram profile.

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About

Details

Jump to

Setting up with Highlight

From the repository

get_instagram_posts

Claude Desktop / Cursor

Linux

Macos

Windows

Instagram MCP Server

Features

Architecture

Configuration

Usage

Available Tools

get_instagram_posts

Install

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`get_instagram_posts`