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Screenshot MCP Server

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

Unclaimed last commit a year ago devtools
46Fair

Scored 3 months ago · breakdown

About Screenshot MCP Server

Screenshot MCP Server is an MCP server published by codingthefuturewithai in the Developer Tools category: mCP server that provides screenshot capabilities for AI tools, allowing them to capture and process screen content. It has been installed 0 times through Conduid.

The repository has 24 stars and 12 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx screenshot-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
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  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Screenshot MCP Server

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

Overview

This MCP server enables AI tools to take screenshots of the user's screen, making it possible for AI assistants to see and analyze what the user is looking at. The server handles image capture, compression, and delivery in a format suitable for AI processing.

Features

  • 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

Installation

From Source

# Clone the repository
git clone https://github.com/codingthefuturewithai/screenshot_mcp_server.git
cd screenshot_mcp_server

# Install using UV (recommended)
uv pip install -e .

# Or using pip
pip install -e .

Available Tools

take_screenshot

Description: Takes a screenshot of the user's screen and returns it as a JPEG image.

Parameters: None

Returns:

  • Image content in JPEG format, base64 encoded

Usage

The server can be used in two ways:

Command Line Client

# Take a screenshot and save it to a file
screenshot_mcp_server-client output.jpg

Programmatic Usage

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

async with stdio_client(StdioServerParameters(command="screenshot_mcp_server-server")) as (read, write):
    async with ClientSession(read, write) as session:
        result = await session.call_tool("take_screenshot")
        # Process the screenshot data...

Requirements

  • Python 3.10 or later (< 3.13)
  • Dependencies:
    • mcp >= 1.0.0
    • pyautogui >= 0.9.54
    • Pillow >= 10.0.0
  • Operating Systems: Linux, macOS, Windows

Configuration

The server supports two transport modes:

  • stdio (default): For command-line usage
  • SSE: For web-based applications, runs on port 3001 by default

To run in SSE mode:

screenshot_mcp_server-server-sse --port 3001

License

This project is licensed under the MIT License.

Author

Tim Kitchens (timkitch@codingthefuture.ai)

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Screenshot MCP Server

How do I install Screenshot MCP Server?

Run npx screenshot-mcp-server, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Screenshot MCP Server safe to use with an AI agent?

Its trust score is 46 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Screenshot MCP Server still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.