Complete MCP server exposing 27 Instagram API operations to AI agents.
⚡ Quick Setup
- Import this workflow into your n8n instance
- Credentials Add Instagram API credentials
- Activate the workflow to start your MCP server
- Copy the webhook URL from the MCP trigger node
- Connect AI agents using the MCP URL
🔧 How it Works
This workflow converts the Instagram API into an MCP-compatible interface for AI agents.
• MCP Trigger: Serves as your server endpoint for AI agent requests
• HTTP Request Nodes: Handle API calls to https://api.instagram.com/v1
• AI Expressions: Automatically populate parameters via $fromAI() placeholders
• Native Integration: Returns responses directly to the AI agent
📋 Available Operations (27 total)
🔧 Geographies (1 endpoints)
• GET /geographies/{geo-id}/media/recent: Get recent media from a custom geo-id.
🔧 Locations (3 endpoints)
• GET /locations/search: Search Locations by Coordinates
• GET /locations/{location-id}: Get information about a location.
• GET /locations/{location-id}/media/recent: Get a list of recent media objects from a given location.
🔧 Media (10 endpoints)
• GET /media/popular: Get Popular Media
• GET /media/search: Search Media by Area
• GET /media/shortcode/{shortcode}: Get information about a media object.
• GET /media/{media-id}: Get information about a media object.
• GET /media/{media-id}/comments: Get a list of recent comments on a media object.
• POST /media/{media-id}/comments: Create a comment on a media object.
• DELETE /media/{media-id}/comments/{comment-id}: Remove a comment.
• DELETE /media/{media-id}/likes: Remove a like on this media by the current user.
• GET /media/{media-id}/likes: Get a list of users who have liked this media.
• POST /media/{media-id}/likes: Set a like on this media by the current user.
🔧 Tags (3 endpoints)
• GET /tags/search: Search Tags by Name
• GET /tags/{tag-name}: Get information about a tag object.
• GET /tags/{tag-name}/media/recent: Get a list of recently tagged media.
🔧 Users (10 endpoints)
• GET /users/search: Search Users by Name
• GET /users/self/feed: Get User Feed
• GET /users/self/media/liked: Get User Liked Media
• GET /users/self/requested-by: Get Follow Requests
• GET /users/{user-id}: Get basic information about a user.
• GET /users/{user-id}/followed-by: Get the list of users this user is followed by.
• GET /users/{user-id}/follows: Get the list of users this user follows.
• GET /users/{user-id}/media/recent: Get the most recent media published by a user.
• GET /users/{user-id}/relationship: Get information about a relationship to another user.
• POST /users/{user-id}/relationship: Modify the relationship between the current user and the target user.
🤖 AI Integration
Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication
Response Format: Native Instagram API responses with full data structure
Error Handling: Built-in n8n HTTP request error management
💡 Usage Examples
Connect this MCP server to any AI agent or workflow:
• Claude Desktop: Add MCP server URL to configuration
• Cursor: Add MCP server SSE URL to configuration
• Custom AI Apps: Use MCP URL as tool endpoint
• API Integration: Direct HTTP calls to MCP endpoints
✨ Benefits
• Zero Setup: No parameter mapping or configuration needed
• AI-Ready: Built-in $fromAI() expressions for all parameters
• Production Ready: Native n8n HTTP request handling and logging
• Extensible: Easily modify or add custom logic
🆓 Free for community use! Ready to deploy in under 2 minutes.