Instagram MCP Server

Instagram MCP Server

Enables AI applications to interact with Instagram Business accounts through the Graph API, supporting profile management, media publishing, insights retrieval, and direct messaging capabilities.

Category
Visit Server

README

Verified on MseeP

MSeeP.ai Security Assessment Badge

Instagram MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with Instagram's Graph API, enabling AI applications to interact with Instagram Business accounts programmatically.

Features

šŸ”§ Tools (Model-controlled)

  • Get Profile Info: Retrieve Instagram business profile details
  • Get Media Posts: Fetch recent posts from an Instagram account
  • Get Media Insights: Retrieve engagement metrics for specific posts
  • Publish Media: Upload and publish images/videos to Instagram
  • Get Account Pages: List Facebook pages connected to the account
  • Get Conversations: List Instagram DM conversations (requires Advanced Access)
  • Get Conversation Messages: Read messages from specific conversations (requires Advanced Access)
  • Send DM: Reply to Instagram direct messages (requires Advanced Access)

šŸ“Š Resources (Application-controlled)

  • Profile Data: Access to profile information including follower counts, bio, etc.
  • Media Feed: Recent posts with engagement metrics
  • Insights Data: Detailed analytics for posts and account performance

šŸ’¬ Prompts (User-controlled)

  • Analyze Engagement: Pre-built prompt for analyzing post performance
  • Content Strategy: Template for generating content recommendations
  • Hashtag Analysis: Prompt for hashtag performance evaluation

Prerequisites

  1. Instagram Business Account: Must be connected to a Facebook Page
  2. Facebook Developer Account: Required for API access
  3. Access Token: Long-lived access token with appropriate permissions
  4. Python 3.10+: For running the MCP server (required by MCP dependencies)

Required Instagram API Permissions

Standard Access (available immediately):

  • instagram_basic
  • instagram_content_publish
  • instagram_manage_insights
  • instagram_manage_comments
  • pages_show_list
  • pages_read_engagement
  • pages_manage_metadata
  • pages_read_user_content
  • business_management

Advanced Access (requires Meta App Review):

  • instagram_manage_messages - Required for Direct Messaging features

āš ļø Instagram DM Features: Reading and sending Instagram direct messages requires Advanced Access approval from Meta. See INSTAGRAM_DM_SETUP.md for the App Review process.

šŸ”‘ How to Get Instagram API Credentials

šŸ“– Quick Start: See AUTHENTICATION_GUIDE.md for a 5-minute setup guide!

This section provides a step-by-step guide to obtain the necessary credentials for the Instagram MCP server.

Step 1: Set Up Instagram Business Account

  1. Convert to Business Account (if not already):

    • Open Instagram app → Settings → Account → Switch to Professional Account
    • Choose "Business" → Select a category → Complete setup
  2. Connect to Facebook Page:

    • Go to Instagram Settings → Account → Linked Accounts → Facebook
    • Connect to an existing Facebook Page or create a new one
    • Important: The Facebook Page must be owned by you

Step 2: Create Facebook App

  1. Go to Facebook Developers:

  2. Create New App:

    • Click "Create App" → Choose "Business" → Click "Next"
    • Fill in app details:
      • App Name: Choose a descriptive name (e.g., "My Instagram MCP Server")
      • App Contact Email: Your email address
    • Click "Create App"
  3. Add Instagram Basic Display Product:

    • In your app dashboard, click "Add Product"
    • Find "Instagram Basic Display" → Click "Set Up"
  4. Configure Instagram Basic Display:

    • Go to Instagram Basic Display → Basic Display
    • Click "Create New App" in the Instagram App section
    • Accept the terms and create the app

Step 3: Get App Credentials

  1. Get App ID and Secret:
    • In your Facebook app dashboard, go to Settings → Basic
    • Copy your App ID and App Secret
    • Important: Keep the App Secret secure and never share it publicly

Step 4: Set Up Instagram Business API Access

  1. Add Instagram Graph API Product:

    • In your app dashboard, click "Add Product"
    • Find "Instagram Graph API" → Click "Set Up"
  2. Configure Permissions:

    • Go to Instagram Graph API → Permissions
    • Request the following permissions:
      • instagram_basic
      • instagram_content_publish
      • instagram_manage_insights
      • pages_show_list
      • pages_read_engagement

Step 5: Generate Access Token

Option A: Using Facebook Graph API Explorer (Recommended for Testing)

  1. Go to Graph API Explorer:

  2. Configure Explorer:

    • Select your app from the dropdown
    • Click "Generate Access Token"
    • Select required permissions when prompted
  3. Get Page Access Token:

    • In the explorer, make a GET request to: /me/accounts
    • Find your Facebook Page in the response
    • Copy the access_token for your page
  4. Get Instagram Business Account ID:

    • Use the page access token to make a GET request to: /{page-id}?fields=instagram_business_account
    • Copy the Instagram Business Account ID from the response

Option B: Using Facebook Login Flow (Recommended for Production)

  1. Set Up Facebook Login:

    • In your app dashboard, add "Facebook Login" product
    • Configure Valid OAuth Redirect URIs
  2. Implement OAuth Flow:

    # Example OAuth URL
    oauth_url = f"https://www.facebook.com/v19.0/dialog/oauth?client_id={app_id}&redirect_uri={redirect_uri}&scope=pages_show_list,instagram_basic,instagram_content_publish,instagram_manage_insights"
    
  3. Exchange Code for Token:

    # Exchange authorization code for access token
    token_url = f"https://graph.facebook.com/v19.0/oauth/access_token?client_id={app_id}&redirect_uri={redirect_uri}&client_secret={app_secret}&code={auth_code}"
    

Step 6: Get Long-Lived Access Token

Short-lived tokens expire in 1 hour. Convert to long-lived token (60 days):

curl -X GET "https://graph.facebook.com/v19.0/oauth/access_token?grant_type=fb_exchange_token&client_id={app_id}&client_secret={app_secret}&fb_exchange_token={short_lived_token}"

Step 7: Set Up Environment Variables

Create a .env file in your project root:

# Facebook App Credentials
FACEBOOK_APP_ID=your_app_id_here
FACEBOOK_APP_SECRET=your_app_secret_here

# Instagram Access Token (long-lived)
INSTAGRAM_ACCESS_TOKEN=your_long_lived_access_token_here

# Instagram Business Account ID
INSTAGRAM_BUSINESS_ACCOUNT_ID=your_instagram_business_account_id_here

# Optional: API Configuration
INSTAGRAM_API_VERSION=v19.0
RATE_LIMIT_REQUESTS_PER_HOUR=200
CACHE_ENABLED=true
LOG_LEVEL=INFO

Step 8: Test Your Setup

Run the validation script to test your credentials:

python scripts/setup.py

Or test manually:

import os
import requests

# Test access token
access_token = os.getenv('INSTAGRAM_ACCESS_TOKEN')
response = requests.get(f'https://graph.facebook.com/v19.0/me?access_token={access_token}')
print(response.json())

🚨 Important Security Notes

  1. Never commit credentials to version control
  2. Use environment variables or secure secret management
  3. Regularly rotate access tokens
  4. Monitor token expiration dates
  5. Use HTTPS only in production
  6. Implement proper error handling for expired tokens

šŸ”„ Token Refresh Strategy

Long-lived tokens expire after 60 days. Implement automatic refresh:

# Check token validity
def check_token_validity(access_token):
    url = f"https://graph.facebook.com/v19.0/me?access_token={access_token}"
    response = requests.get(url)
    return response.status_code == 200

# Refresh token before expiration
def refresh_long_lived_token(access_token, app_id, app_secret):
    url = f"https://graph.facebook.com/v19.0/oauth/access_token"
    params = {
        'grant_type': 'fb_exchange_token',
        'client_id': app_id,
        'client_secret': app_secret,
        'fb_exchange_token': access_token
    }
    response = requests.get(url, params=params)
    return response.json().get('access_token')

šŸ“‹ Troubleshooting Common Issues

Error: "Invalid OAuth access token"

  • Check if token has expired
  • Verify token has required permissions
  • Ensure Instagram account is connected to Facebook Page

Error: "Instagram account not found"

  • Verify Instagram Business Account ID is correct
  • Check if Instagram account is properly linked to Facebook Page
  • Ensure account is a Business account, not Personal

Error: "Insufficient permissions"

  • Review required permissions in Facebook App
  • Re-generate access token with correct scopes
  • Check if app is in Development vs Live mode

Rate Limiting Issues

  • Implement exponential backoff
  • Cache responses when possible
  • Monitor rate limit headers in API responses

Installation

  1. Clone the repository:
git clone <repository-url>
cd ig-mcp
  1. Install dependencies:
pip install -r requirements.txt
  1. Set up environment variables:
cp .env.example .env
# Edit .env with your Instagram API credentials
  1. Configure the MCP server:
# Edit config.json with your specific settings

Configuration

Environment Variables (.env)

INSTAGRAM_ACCESS_TOKEN=your_long_lived_access_token
FACEBOOK_APP_ID=your_facebook_app_id
FACEBOOK_APP_SECRET=your_facebook_app_secret
INSTAGRAM_BUSINESS_ACCOUNT_ID=your_instagram_business_account_id

MCP Client Configuration

Add this to your MCP client configuration (e.g., Claude Desktop):

{
  "mcpServers": {
    "instagram": {
      "command": "python",
      "args": ["/path/to/ig-mcp/src/instagram_mcp_server.py"],
      "env": {
        "INSTAGRAM_ACCESS_TOKEN": "your_access_token"
      }
    }
  }
}

Usage Examples

Using with Claude Desktop

  1. Get Profile Information:
Can you get my Instagram profile information?
  1. Analyze Recent Posts:
Show me my last 5 Instagram posts and their engagement metrics
  1. Publish Content:
Upload this image to my Instagram account with the caption "Beautiful sunset! #photography #nature"

Using with Python MCP Client

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

# Connect to the Instagram MCP server
server_params = StdioServerParameters(
    command="python",
    args=["src/instagram_mcp_server.py"]
)

async with stdio_client(server_params) as (read, write):
    async with ClientSession(read, write) as session:
        await session.initialize()
        
        # Get profile information
        result = await session.call_tool("get_profile_info", {})
        print(result)

API Endpoints Covered

Profile Management

  • Get business profile information
  • Update profile details (future feature)

Media Management

  • Retrieve recent posts
  • Get specific media details
  • Upload and publish new content
  • Delete media (future feature)

Analytics & Insights

  • Post engagement metrics (likes, comments, shares)
  • Account insights (reach, impressions)
  • Hashtag performance analysis

Account Management

  • List connected Facebook pages
  • Switch between business accounts

Rate Limiting & Best Practices

The server implements intelligent rate limiting to comply with Instagram's API limits:

  • Profile requests: 200 calls per hour
  • Media requests: 200 calls per hour
  • Publishing: 25 posts per day
  • Insights: 200 calls per hour

Best Practices

  1. Cache frequently accessed data
  2. Use batch requests when possible
  3. Implement exponential backoff for retries
  4. Monitor rate limit headers

Error Handling

The server provides comprehensive error handling for common scenarios:

  • Authentication errors: Invalid or expired tokens
  • Permission errors: Missing required permissions
  • Rate limiting: Automatic retry with backoff
  • Network errors: Connection timeouts and retries
  • API errors: Instagram-specific error responses

Security Considerations

  1. Token Security: Store access tokens securely
  2. Environment Variables: Never commit tokens to version control
  3. HTTPS Only: All API calls use HTTPS
  4. Token Refresh: Implement automatic token refresh
  5. Audit Logging: Log all API interactions

Development

Project Structure

ig-mcp/
ā”œā”€ā”€ src/
│   ā”œā”€ā”€ instagram_mcp_server.py    # Main MCP server
│   ā”œā”€ā”€ instagram_client.py        # Instagram API client
│   ā”œā”€ā”€ models/                    # Data models
│   ā”œā”€ā”€ tools/                     # MCP tools implementation
│   ā”œā”€ā”€ resources/                 # MCP resources implementation
│   └── prompts/                   # MCP prompts implementation
ā”œā”€ā”€ tests/                         # Unit and integration tests
ā”œā”€ā”€ config/                        # Configuration files
ā”œā”€ā”€ requirements.txt               # Python dependencies
ā”œā”€ā”€ .env.example                   # Environment variables template
└── README.md                      # This file

Running Tests

# Run all tests
python -m pytest tests/

# Run with coverage
python -m pytest tests/ --cov=src/

# Run specific test file
python -m pytest tests/test_instagram_client.py

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Troubleshooting

Common Issues

  1. "Invalid Access Token"

    • Verify token is not expired
    • Check token permissions
    • Regenerate long-lived token
  2. "Rate Limit Exceeded"

    • Wait for rate limit reset
    • Implement request queuing
    • Use batch requests
  3. "Permission Denied"

    • Verify Instagram Business account setup
    • Check Facebook page connection
    • Review API permissions

Debug Mode

Enable debug logging by setting:

LOG_LEVEL=DEBUG

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

  • šŸ“§ Email: support@example.com
  • šŸ› Issues: GitHub Issues
  • šŸ“– Documentation: Wiki

Acknowledgments

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured