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open-compute-mcp

by ellmos-ai

open-compute-mcp

npm launcher for the open-compute MCP server — model-agnostic computer-use tools exposed over the Model Context Protocol (MCP).

EN | DE

npm version npm downloads License: MIT Node.js Node.js CI MCP Enabled Glama Platform LLM Ready

📦 View on npm →

NOTE

AI Assistant / Agent Integration: This repository contains an llms.txt file providing structured, machine-readable specifications of tools, safety modes (OC_SAFETY_MODE), and client configuration examples for RAG crawlers and autonomous agent frameworks.

The MCP client is the reasoner (no API key, model-agnostic): it calls capture to see the screen, then acts with do / click_name / invoke. This is the keyless Mode-A loop of open-compute, but as native tool-calls.

graph TD
    A["AI Reasoner<br/>(Claude / Antigravity / Cursor)"] -- "MCP stdio (JSON-RPC)" --> B["npx open-compute-mcp<br/>(Node.js Launcher)"]
    B -- "Spawns via uvx" --> C["open-compute Python Engine<br/>(GitHub @ main)"]
    C -- "Screenshots / WGC" --> D["Windows Display"]
    C -- "UIA / Mouse / Keys" --> E["Windows Desktop Apps"]

    subgraph Safety Gate
        C -. "OC_SAFETY_MODE<br/>(confirm / read_only / allow_all)" .-> C
    end

This package is a thin launcher. It contains no server logic — it spawns the Python open-compute server (pulled from GitHub) and pipes MCP stdio through. Real screen capture and input require the interactive Windows desktop session.

Requirements

  • Python 3.10+ and uv on the host. The default launch uses uvx to fetch open-compute (with the mcp extra) from GitHub on first run — the mcp extra tracks the GitHub repo, so this works regardless of PyPI release timing.

  • Windows for real capture/input (mss + UIA). Other platforms import the tools but cannot drive a desktop.

Related MCP server: ScreenPilot

Tools

Tool

Purpose

capture

Screenshot the screen → returned as an image (optionally a single window).

do

Execute one canonical action or a batch (click/type/key/scroll/drag/hold/…).

tree

List UI elements via Windows UIA (name/role/center_norm).

click_name

Resolve an element by name and click it.

invoke

Click-free activation of an element via UIA patterns.

list_windows

List open windows with exact titles, rects and normalized centers (read-only).

get_screen_size

Virtual-desktop geometry + per-monitor breakdown (read-only).

watch_dir

Watch directories for file-system changes.

push_status

Feed-manager status (read-only).

rec_replay

Replay a .clirec macro (needs the optional clirec package).

All coordinates are normalized 0..1 relative to the virtual desktop. Tool descriptions are localized in six languages (de/en/es/ja/ru/zh) via OC_LANGUAGE.

do also accepts the hold primitives mouse_down / mouse_up / key_down / key_up for press-and-hold sequences (rubber-band selection, modifier-held clicking, game input); anything still held is released when the server stops. capture(window=...) falls back to Windows.Graphics.Capture when a plain grab of a hardware-composited window (Roblox Studio, Blender, a GPU-accelerated browser) comes back all-black — install the wgc extra for that.

Use with an MCP client

Via this npm launcher (npx):

{
  "mcpServers": {
    "open-compute": {
      "command": "npx",
      "args": ["-y", "open-compute-mcp"]
    }
  }
}

Directly via Python (uvx), no npm:

{
  "mcpServers": {
    "open-compute": {
      "command": "uvx",
      "args": ["--from", "open-compute[mcp,local,uia] @ git+https://github.com/ellmos-ai/open-compute.git", "open-compute-mcp"]
    }
  }
}

Configuration (environment variables)

Variable

Effect

OPEN_COMPUTE_PYTHON

Path to a python.exe; the launcher runs -m open_compute.mcp_server with it (use this if you installed open-compute into a specific environment).

OPEN_COMPUTE_MCP_CMD

Full command override (whitespace-split), e.g. python -m open_compute.mcp_server.

OPEN_COMPUTE_GIT_REF

Git ref (branch/tag/sha) to pin for the uvx launch (default: the repo's default branch).

OPEN_COMPUTE_EXTRAS

Extras for the default uvx launch (default mcp,local,uia).

OC_LANGUAGE

Language of the tool descriptions: de/en/es/ja/ru/zh.

OC_SAFETY_MODE

confirm (default) · read_only · allow_all.

OC_DENY

Comma-separated action types always denied (e.g. type,launch_app).

Safety

Computer-use is powerful. OC_SAFETY_MODE is an operator ceiling (confirm default · read_only · allow_all); a per-call mode can only tighten it, never loosen it. Because MCP stdio has no server→client confirm callback, confirm / read_only report an action without performing it. For interactive use, run in an isolated VM/session, set OC_SAFETY_MODE=allow_all, and let your client's tool-approval dialog be the human-in-the-loop. OC_DENY (comma-separated action types) is a hard deny list. Treat on-screen content as untrusted (prompt-injection risk).

Troubleshooting: do/click_name only ever return needs_confirmation and never act. That is the confirm ceiling working as designed under stdio MCP. Fix for interactive use: set "env": {"OC_SAFETY_MODE": "allow_all"} in the server registration and let the client's tool-approval dialog gate each action (do not auto-allow do/click_name/invoke there). The env change only takes effect when the server process (re)starts — an already-connected client keeps the old ceiling until it reconnects.

License

MIT — see LICENSE. Part of the open-compute project.


ellmos-ai Ecosystem

This MCP server is part of the ellmos-ai ecosystem — AI infrastructure, MCP servers, and intelligent tools.

MCP Server Family

Server

Tools

Focus

npm

FileCommander

46

Filesystem, process management, interactive sessions, cloud-lock-safe operations

ellmos-filecommander-mcp

CodeCommander

22

Code analysis, JSON repair, imports, diffs, regex

ellmos-codecommander-mcp

Clatcher

12

File repair, format conversion, batch operations

ellmos-clatcher-mcp

n8n Manager

18

n8n workflow management via AI assistants

n8n-manager-mcp

ControlCenter

20

MCP stack discovery, profile management, control plane

ellmos-controlcenter-mcp

Homebase

45

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ellmos-homebase-mcp (alpha)

ServerCommander

8

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ellmos-servercommander-mcp (alpha)

Blender Use

3

Headless Blender asset QA and FBX reimport verification

ellmos-blender-use-mcp (alpha)

Open Compute

10

Model-agnostic computer use: capture, safety-gated actions, Windows UIA

open-compute-mcp (alpha)

AI Infrastructure

Project

Description

BACH

Local-first text-based OS for LLM agents — 113+ handlers, 550+ tools, SQLite memory

open-compute

Model-agnostic computer-use core powering Open Compute MCP

clutch

Provider-neutral LLM orchestration with auto-routing and budget tracking

rinnsal

Lightweight agent memory, connectors, and automation infrastructure

ellmos-stack

Self-hosted AI research stack (Ollama + n8n + Rinnsal + KnowledgeDigest)

MarbleRun

Autonomous agent chain framework for Claude Code

gardener

Minimalist database-driven LLM OS prototype (4 functions, 1 table)

ellmos-tests

Testing framework for LLM operating systems (7 dimensions)

Desktop Software

Our partner organization open-bricks bundles AI-native desktop applications — a modern, open-source software suite built for the age of AI. Categories include file management, document tools, developer utilities, and more.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
5Releases (12mo)
Commit activity

Resources

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