What is MCP? How AI Assistants Use Tools

July 25, 2026

MCP stands for Model Context Protocol. It's an open standard that lets AI assistants like Claude, Cursor, and VS Code call external tools — not just talk about them, but actually use them.

The Problem

AI assistants are great at generating text. But they can't convert a PDF to Word, compress a file, or analyze a spreadsheet. They can tell you how to do it, but they can't do it for you.

How MCP Works

MCP is like a USB port for AI. Instead of building custom integrations for every AI platform, you build one MCP server and every compatible AI assistant can use it.

Here's the flow:

You connect an AI assistant to an MCP server (like DocMake)
The AI discovers what tools are available
When you ask it to do something, it picks the right tool
It calls the tool, gets the result, and gives it to you

A Real Example

Say you're using Claude Desktop and you need to convert a PDF to Word. With DocMake's MCP server, you just say:

Convert this PDF to Word: /path/to/document.pdf

Claude calls DocMake's convert_file tool, which converts the file and returns the path. You get the converted file without leaving your chat.

What Makes DocMake Different

Most MCP servers are simple wrappers. DocMake has 20+ tools covering the full document lifecycle:

File processing — convert, combine, split, compress, watermark, protect, sign
AI features — summarize, analyze, generate, chat, search, slides
Data science — upload data, ask questions, get AI-written Python code and charts
Agent — plan complex tasks, then execute them step by step

And every tool uses the same Makes cost system as the web UI. No separate billing, no surprises.

How to Connect

Add this to your Claude Desktop config:

{
  "mcpServers": {
    "docmake": {
      "url": "https://docmake.online/mcp/sse",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Get your API key at docmake.online — sign in, go to API Keys, generate one.

The Bigger Picture

MCP is becoming the standard for AI tool integration. Anthropic open-sourced it, and it's now managed by a neutral foundation alongside OpenAI's agent standard. This means it's going cross-lab, not staying locked to one company.

For developers, this means: build one MCP server, and every AI assistant can use your tools. For users, this means: your AI can actually do things, not just talk about them.

Try DocMake