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
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.
Related Servers
n8n
Self‑hosted, code‑first workflow automation platform
FastMCP
TypeScript framework for rapid MCP server development
Activepieces
Open-source AI automation platform for building and deploying extensible workflows
MaxKB
Enterprise‑grade AI agent platform with RAG and workflow orchestration.
Filestash
Web‑based file manager for any storage backend
MCP for Beginners
Learn Model Context Protocol with hands‑on examples
Weekly Views
Server Health
Information
Explore More Servers
McGravity
Unified MCP Proxy and Load Balancer
GOAT
AI Agents Powered by Blockchain Finance
MCP Documentation Server
Local-first document management with AI-powered semantic search
GitHub API MCP Server
Interact with GitHub repos via Model Context Protocol
Orchestrator Server
Coordinate AI tasks across multiple LLM instances
Linear MCP Server
Remote Linear context server for Zed Agent Panel