MCP server that uses OmniParser to analyze screens and automate GUI actions on Windows.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by 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.
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).
(Other than Windows, use export instead of set.)
(If you want langchain_example.py to work, uv sync --extra langchain instead.)
claude_desktop_config.json:(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.
etc.
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