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Ig Download MCP Server

MCP Server

Download Instagram videos via a lightweight MCP service

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Updated Aug 19, 2025

About

Ig Download MCP Server is a fast, modular MCP service that extracts Instagram video URLs and downloads them to a local path with progress tracking. It’s ideal for automated media retrieval in web or mobile apps.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

ig‑download‑MCP Server

The ig‑download‑MCP Server is a lightweight Model Context Protocol service that bridges AI assistants and Instagram’s media ecosystem. It solves the problem of programmatically accessing and downloading video content from public Instagram posts—a task that traditionally requires manual interaction or complex web‑scraping pipelines. By exposing a simple MCP command, the server allows AI agents to retrieve high‑quality video files with minimal effort, enabling developers to embed Instagram media handling directly into AI‑powered workflows.

At its core, the server leverages the library to parse Instagram URLs and extract direct media links. It then streams the video using , writing it to a user‑specified local path while emitting progress updates. The service is built on FastMCP, a lightweight framework that ensures low latency and easy integration with existing MCP clients. This combination of efficient URL extraction, robust downloading, and real‑time progress tracking makes the server highly reliable for production use.

Key capabilities include:

  • URL extraction: Accepts any publicly accessible Instagram post URL and resolves the embedded video link without needing API credentials.
  • Local storage: Downloads are written to a configurable directory, making it straightforward to organize media assets.
  • Progress reporting: The server streams download progress back to the client, allowing AI assistants to inform users about status or handle timeouts gracefully.
  • Logging: Detailed logs capture success messages and error conditions, aiding debugging in automated pipelines.

Typical use cases span content curation, media archiving, and AI‑driven analysis. For example, a research assistant could ask an AI model to gather video evidence from Instagram for a social media study; the MCP server would fetch and store the videos locally, ready for further processing. In a marketing context, an AI chatbot could retrieve promotional clips on demand and upload them to a campaign repository. The server’s minimal API—just a single command with URL and path parameters—fits naturally into conversational AI workflows, where the assistant can prompt for missing details or confirm download destinations.

What sets this MCP server apart is its simplicity and portability. It requires no external API keys, runs on any Node.js environment, and can be dropped into existing MCP setups with a single configuration entry. Developers who already employ MCP for tool integration will find this server an effortless addition, enabling Instagram video access without reinventing the wheel.