open-compute-mcp
Enables screen capture and computer-use control of Blender on Windows, including GPU-composited Blender windows via the Windows.Graphics.Capture fallback.
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This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
open-compute-mcp
npm launcher for the Python open-compute MCP server. It forwards MCP JSON-RPC over local stdin/stdout. Real screen capture and input require an interactive Windows desktop on the MCP client's host. No Glama or other hosted/cloud desktop deployment is provided.
This short entrypoint replaces the long-form README.md at predecessor commit 59cd953. The corrected detailed guide is archived here, retaining the former section anchors and diagrams. It is a corrected copy, not an unchanged historical snapshot; the original remains available at the commit link.
Install and run
Requires Node.js 18 or newer and uv. The backend requires Python 3.10 or newer; uvx can use a compatible installed interpreter or download and manage one when needed. The default launch fetches the Python server from GitHub at the master branch; set OPEN_COMPUTE_GIT_REF to choose a branch, tag, or commit. These bootstrap steps require network access.
Add this server to a local MCP client:
{
"mcpServers": {
"open-compute": {
"command": "npx",
"args": ["-y", "open-compute-mcp"]
}
}
}The npm package is published separately from this Git repository; check its published version for a particular source revision. A direct uvx configuration is in the detailed quick start.
Related MCP server: computer-use-mcp
Architecture & Protocol Flow
The launcher bridges client JSON-RPC requests across local stdio to the Python engine executing on the interactive Windows desktop:
sequenceDiagram
autonumber
actor Reasoner as AI Reasoner (Antigravity / Claude / Cursor)
participant Launcher as Node.js Launcher (open-compute-mcp)
participant Engine as Python MCP Server (open-compute via uvx)
participant Desktop as Windows Desktop (WGC / UIA / Win32)
actor Operator as Human Operator (Supervision & Approvals)
Note over Reasoner,Operator: Phase 1 - Transport Initialization & Tool Discovery
Reasoner->>Launcher: MCP stdio JSON-RPC (initialize / tools/list)
Launcher->>Engine: Spawn Python process & pipe stdio
Engine-->>Launcher: Return tool schemas (capture, tree, do, click_name)
Launcher-->>Reasoner: Forward available tool definitions
Note over Reasoner,Operator: Phase 2 - Desktop Inspection & Visual Context
Reasoner->>Launcher: Call capture(window?) or tree()
Launcher->>Engine: Forward tool invocation over stdio
Engine->>Desktop: Windows Graphics Capture (WGC) or UI Automation inspect
Desktop-->>Engine: Raw frame buffer / accessibility element tree
Engine-->>Launcher: Formatted image (base64 PNG) or JSON tree result
Launcher-->>Reasoner: Relay visual context to model
Note over Reasoner,Operator: Phase 3 - Human Oversight & Gated Action Execution
Reasoner->>Launcher: Propose action: do(click, x, y) or click_name(target)
Launcher->>Engine: Forward action request over stdio
alt Client Approval Gate
Operator->>Engine: Confirm interactive desktop action
Engine->>Desktop: Synthesize mouse / keyboard event via Win32 API
Desktop-->>Engine: Action outcome & state change
Engine-->>Launcher: Success status report
else Deny or Boundary Check
Engine-->>Launcher: Action blocked by policy or client denial
end
Launcher-->>Reasoner: Forward execution receiptWhat the launcher does
It starts the Python MCP server and forwards stdio. The wrapper does not implement a network filter, sandbox, privilege drop, or environment scrubber. The child inherits the launcher's environment and operating-system privileges.
The default uvx command retrieves the Python project from GitHub; npm installation contacts npm. In an interactive terminal, the optional update notice may check npm. Local stdio describes the client-to-wrapper transport; it does not block network access by the child or MCP client. The client controls routing of tool results, including screenshots.
For real capture and input, run the MCP client on the Windows desktop to be controlled. Action modes and targeting belong to the Python server; configure the client's approval controls. This wrapper is not an operating-system security boundary.
Tools and configuration
The tool reference is a snapshot of the separate Python project's tool list at a documented source ref. The running server's schemas define the available tools for the selected ref. See also the environment variables.
Related integration
The Cowork Protocol Desktop Companion includes an optional, human-started computer-use adapter that launches the separate Python Open Compute MCP server over local stdio. Its documented default uses uvx; this npm launcher is not a Cowork dependency. This relationship does not change the process, network, or privilege boundaries described above.
Documentation
The repository source manifest currently declares 0.1.0-alpha.20. This documentation work changes no version and publishes no release.
This server cannot be deployed
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