mcpField
O
omniparser-autogui-mcp

omniparser-autogui-mcp

Local
github.com/NON906Other72Updated 86w ago

About omniparser-autogui-mcp

omniparser-autogui-mcp is an MCP server that analyzes the screen with OmniParser and operates the graphical interface automatically. The README states it has been confirmed on Windows, and it suits users who want to automate desktop GUI tasks.

Key features

  1. 01Screen analysis using OmniParser
  2. 02Automatic GUI operation
  3. 03Optional target window selection
  4. 04Communication over stdio or SSE

Use cases

  1. 01Searching for a term in an on-screen browser
  2. 02Automating GUI tasks on Windows desktops

MCP support

This is an MCP server whose screen analysis and GUI operation functions can be called from MCP clients such as Claude Desktop over stdio or SSE.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

omniparser-autogui-mcp

(日本語版はこちら)

This is an MCP server that analyzes the screen with OmniParser and automatically operates the GUI.
Confirmed on Windows.

License notes

This is MIT license, but Excluding submodules and sub packages.
OmniParser's repository is CC-BY-4.0.
Each OmniParser model has a different license (reference).

Installation

  1. Please do the following:
git clone --recursive https://github.com/NON906/omniparser-autogui-mcp.git
cd omniparser-autogui-mcp
uv sync
set OCR_LANG=en
uv run download_models.py

(Other than Windows, use export instead of set.)
(If you want langchain_example.py to work, uv sync --extra langchain instead.)

  1. Add this to your claude_desktop_config.json:
{
  "mcpServers": {
    "omniparser_autogui_mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "D:\\CLONED_PATH\\omniparser-autogui-mcp",
        "run",
        "omniparser-autogui-mcp"
      ],
      "env": {
        "PYTHONIOENCODING": "utf-8",
        "OCR_LANG": "en"
      }
    }
  }
}

(Replace D:\\CLONED_PATH\\omniparser-autogui-mcp with the directory you cloned.)

env allows for the following additional configurations:

  • OMNI_PARSER_BACKEND_LOAD
    If it does not work with other clients (such as LibreChat), specify 1.

  • TARGET_WINDOW_NAME
    If you want to specify the window to operate, please specify the window name.
    If not specified, operates on the entire screen.

  • OMNI_PARSER_SERVER
    If you want OmniParser processing to be done on another device, specify the server's address and port, such as 127.0.0.1:8000.
    The server can be started with uv run omniparserserver.

  • SSE_HOST, SSE_PORT
    If specified, communication will be done via SSE instead of stdio.

  • SOM_MODEL_PATH, CAPTION_MODEL_NAME, CAPTION_MODEL_PATH, OMNI_PARSER_DEVICE, BOX_TRESHOLD
    These are for OmniParser configuration.
    Usually, they are not necessary.

Usage Examples

  • Search for "MCP server" in the on-screen browser.

etc.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.