About Instagram MCP Server
Instagram MCP Server is an MCP server that fetches Instagram posts by reusing an existing Chrome login session. Written in TypeScript with a modular layout, it suits developers who need to collect a profile's posts and save media and metadata locally.
Key features
- 01Reuses an existing Chrome login session
- 02Modular architecture with separated concerns
- 03Type-safe implementation in TypeScript
- 04Configuration through environment variables
- 05JSON-RPC 2.0 compliant communication
- 06Automatic media download and metadata generation
Use cases
- 01Fetching recent posts from an Instagram username
- 02Saving post media and metadata to a local directory
- 03Preparing social content data for analysis
MCP support
This project is an MCP server that exposes a get_instagram_posts tool to MCP clients, accepting parameters such as username, post limit and save directory.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEInstagram 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
-
Install dependencies:
npm install -
Build the server:
npm run build -
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 fromlimit(optional): Number of posts to fetch (1-50) or "all"saveDir(optional): Directory to save media files and metadatadelayBetweenPosts(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 parametersINVALID_PARAMS: Missing or invalid parametersMETHOD_NOT_FOUND: Unknown method or toolINTERNAL_ERROR: Server-side errors
Development
-
Start in development mode:
npm run dev -
Run linter:
npm run lint
Improvements Over Original
-
Modular Architecture
- Clear separation of concerns
- Better code organization
- Easier to maintain and extend
-
Type Safety
- Comprehensive TypeScript types
- Better error catching
- Improved IDE support
-
Error Handling
- Standardized error codes
- Better error messages
- Proper error propagation
-
Configuration
- Centralized configuration
- Environment variable validation
- Type-safe config access
-
Code Quality
- Consistent coding style
- Better documentation
- Improved logging
-
Testing Support
- Modular design enables testing
- Dependency injection ready
- Clear interfaces
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.