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MCP Screenshot Server

@margusmartsepp

Repository

Basic information

Category

Browser Automation

License

MIT license

Transports

stdio

Author

margusmartsepp

About MCP Screenshot Server

A lightweight MCP-compatible Python server for capturing Windows screenshots via REST API. Supports full screen, region-based, or window-specific captures. Ideal for AI agent integrations and automation workflows.

MCP Screenshot Server config

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

{
  "mcpServers": {
    "mcp-screenshot-server-margusmartsepp": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Screenshot Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is 🖼️ MCP Screenshot Server?

A lightweight, MCP-compatible screenshot microservice built with FastAPI for Windows. It enables AI agents and automation tools to capture full-screen, region-based, or window-specific screenshots via simple HTTP calls.

How to use 🖼️ MCP Screenshot Server?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, and run the server with uvicorn main:app --reload. Send a POST request to the /screenshot endpoint with an optional JSON body containing region, window_title, or base64 parameters.

Key features of 🖼️ MCP Screenshot Server?

  • Capture full-screen screenshots
  • Capture specific windows by title
  • Capture custom screen regions
  • MCP-compliant REST API
  • Returns images as PNG or base64
  • Built with FastAPI for production readiness

Use cases of 🖼️ MCP Screenshot Server?

  • Integrating with LLMs using Model Context Protocol
  • QA test automation pipelines
  • Monitoring and remote capture tools
  • Visual logging and debugging for AI agents

Frequently asked questions

1

Does it work on Linux or macOS?

Not yet. This version is Windows-focused, but contributions are welcome to extend platform support.

2

Is it MCP-certified?

This project aims to follow the MCP specification as closely as possible

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