Building a Remote MCP Server to Handle Large Files (Audio/Video)

Description and use

<p>The rise of AI agents (like Cursor and Claude Desktop) is incredible. But if you've ever tried to build a custom tool for them to process large files—like a 50MB audio track or a video—you already know the pain. </p> <p>LLMs have strict token and payload limits. You can't just pass a local <code>.mp3</code> file into a prompt.</p> <p>In this post, I'll share the architectural pattern I used to build a <strong>Remote MCP (Model Context Protocol) Server</strong> that allows an AI agent to process heavy media files entirely hands-free.</p> <h2> The Core Problem: File Size & Context Switchi

Problem

<p>The rise of AI agents (like Cursor and Claude Desktop) is incredible. But if you've ever tried to build a custom tool for them to process large files—like a 50MB audio track or a video—you already know the pain. </p> <p>LLMs have strict token and payload limits. You can't just pass a local <code>.mp3</code> file into a prompt.</p> <p>In this post, I'll share the architectural pattern I used to build a <strong>Remote MCP (Model Context Protocol) Server</strong> that allows an AI agent to process heavy media files entirely hands-free.</p> <h2> The Core Problem: File Size & Context Switchi

Outcome

<p>The rise of AI agents (like Cursor and Claude Desktop) is incredible. But if you've ever tried to build a custom tool for them to process large files—like a 50MB audio track or a video—you already know the pain. </p> <p>LLMs have strict token and payload limits. You can't just pass a local <code>.mp3</code> file into a prompt.</p> <p>In this post, I'll share the architectural pattern I used to build a <strong>Remote MCP (Model Context Protocol) Server</strong> that allows an AI agent to process heavy media files entirely hands-free.</p> <h2> The Core Problem: File Size & Context Switchi

Evidence

Building a Remote MCP Server to Handle Large Files (Audio/Video)

Source