Screenshot MCP Server

Name: Screenshot MCP Server
Author: codingthefuturewithai

@codingthefuturewithai

Repository

About Screenshot MCP Server

MCP server that provides screenshot capabilities for AI tools, allowing them to capture and process screen content

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "screenshot_mcp_server": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Screenshot MCP Server?

An MCP server that provides screenshot capabilities for AI tools, allowing them to capture and process screen content. It enables AI assistants to take screenshots of the user's screen and analyze what the user is looking at.

How to use Screenshot MCP Server?

Install from source using uv pip install -e . or pip install -e .. Run in stdio mode with the command-line client screenshot_mcp_server-client output.jpg or start the server via screenshot_mcp_server-server. For SSE mode, run screenshot_mcp_server-server-sse --port 3001. Programmatically, use an MCP client to call the take_screenshot tool.

Key features of Screenshot MCP Server

Take full screen screenshots
Automatic JPEG compression for efficient transfer
Base64 encoded image data for reliable transmission
Support for both stdio and SSE transport modes
Configurable image quality and optimization
Simple command-line interface for testing

Use cases of Screenshot MCP Server

AI assistants analyzing the user’s current screen content
Automated screenshot capture for debugging or testing
Providing visual context for AI decision-making

FAQ from Screenshot MCP Server

What does the Screenshot MCP Server do?

It enables AI tools to capture the user’s screen and return a JPEG image, allowing AI assistants to see and analyze what is on the screen.

What are the system requirements?

Python 3.10 or later (but not 3.13), with dependencies: mcp >= 1.0.0, pyautogui >= 0.9.54, and Pillow >= 10.0.0. It runs on Linux, macOS, and Windows.