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. That is what the instagram mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

• 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

The tools it exposes

The server publishes 1 tool. What each one is for:

• get_instagram_posts — Parameters: - username (required): Instagram username to fetch posts from - limit (optional): Number of posts to fetch (1-50) or "all" - saveDir

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

How it compares

This sits in the browser automation group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Instagram's toolset — get_instagram_posts — is a fair guide to whether it matches your workflow. It is maintained by duhlink; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.