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  1. Home
  2. 🛠️ Other Tools and Integrations
  3. Omniparser Autogui MCP
Omniparser Autogui MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:03:55 PM

Omniparser Autogui MCP

User RatingsBe the first to rate and review this MCP server!
View Repository70 GitHub StarsTotal stargazers on GitHub for the source repository (70 stars).Visit Website
gui-automationbrowser-automationscreen-analysisomniparser

MCP server that uses OmniParser to analyze screens and automate GUI actions on Windows.

Quick Install

Automated & IDE Setup

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.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for NON906/omniparser-autogui-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🛠️ More in Other Tools and Integrations

Overview

This server combines OmniParser screen analysis with automatic GUI operation. Use it when an AI client needs to identify and interact with on-screen controls, such as searching in a browser. It can operate on the full screen or a specified window.

Use cases

•Search for information in an on-screen browser
•Identify controls and elements in a GUI
•Operate a specified application window
•Run OmniParser processing on another device

Key features

•Analyzes screens with OmniParser
•Automatically operates GUI elements
•Targets the full screen or a named window
•Supports local or remote OmniParser processing
•Supports stdio and SSE communication
•Provides configurable OCR and model settings

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Omniparser Autogui MCP.

Extracted Tool Capabilities
Analyzes screens with OmniParser
Automatically operates GUI elements
Targets the full screen or a named window
Supports local or remote OmniParser processing
Supports stdio and SSE communication
Provides configurable OCR and model settings

Documentation Overview

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:
Code
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:
JSON Config
{
  "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.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
70
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Omniparser Autogui MCP

The project has been confirmed to work on Windows.

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Technical Specs & Signals

Category🛠️Other Tools and Integrations
PricingFree
More technical detailsExpand ▾
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedAug 10, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars70
GitHub Star CountTotal stargazers on GitHub representing community popularity (70 stars).
Last commit1y ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Mar 2, 2025
32Quality signal: Emerging · 32/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🛠️ Other Tools and Integrations →Alternatives to Omniparser Autogui MCP →Install in Claude DesktopInstall in CursorInstall in VS Code