Instagram Analytics

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

Installation Instructions

README: https://github.com/duhlink/instagram-server-next-mcp

Instagram MCP Server

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

Features

• 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

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.

Parameters:

• username (required): Instagram username to fetch posts from
• limit (optional): Number of posts to fetch (1-50) or "all"
• saveDir (optional): Directory to save media files and metadata
• delayBetweenPosts (optional): Milliseconds to wait between processing posts

Example:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "call_tool",
  "params": {
    "name": "get_instagram_posts",
    "arguments": {
      "username": "example",
      "limit": 10
    }
  }
}

Error Handling

The server uses standardized error codes and messages:

• INVALID_REQUEST: Invalid request format or parameters
• INVALID_PARAMS: Missing or invalid parameters
• METHOD_NOT_FOUND: Unknown method or tool
• INTERNAL_ERROR: Server-side errors

Development

1. Start in development mode:

   npm run dev
   

2. Run linter:

   npm run lint
   

Improvements Over Original

1. Modular Architecture

   • Clear separation of concerns
   • Better code organization
   • Easier to maintain and extend

2. Type Safety

   • Comprehensive TypeScript types
   • Better error catching
   • Improved IDE support

3. Error Handling

   • Standardized error codes
   • Better error messages
   • Proper error propagation

4. Configuration

   • Centralized configuration
   • Environment variable validation
   • Type-safe config access

5. Code Quality

   • Consistent coding style
   • Better documentation
   • Improved logging

6. Testing Support

   • Modular design enables testing
   • Dependency injection ready
   • Clear interfaces

License

MIT