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28 days ago
glama

ComputerMate

Enables AI to control a computer through mouse, keyboard, and screen capture tools, with support for local native and Docker sandboxed environments.

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// key findings
🚨
Known vulnerabilities in dependencies: 1 critical, 1 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
⚠️
Tests do not pass
Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.
// known CVEs in dependencies1 critical1 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

criticalvitest@4.0.18GHSA-5xrq-8626-4rwp

When Vitest UI server is listening, arbitrary file can be read and executed

highplaywright@1.50.0GHSA-7mvr-c777-76hp

Playwright downloads and installs browsers without verifying the authenticity of the SSL certificate

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// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCOMPUTER_TYPE(Docker / HTTP) Sets the computer backend: native or playwright. native
configHEADLESS(Playwright) Runs the browser in headless mode. false
configMAX_SCALING_DIMENSION📐 Smart Scaling: Automatically scale screenshots and coordinates to fit LLM context limits via .
configPORT
configVIRTUAL_CURSOR🖱️ Virtual Cursor: Enable a visual mouse cursor in Playwright by setting =true.
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 8 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/one710-computermate-1vq5vd)](https://m8ven.ai/mcp/one710-computermate-1vq5vd)
commit: 2fcf75983d411bb3896d526eea67a855b31987c5
code hash: 78b04e0d39c74521b7cc281c90d038de0e3fd686d65e904f9d91b9d8a7e6c8b5
verified: 6/11/2026, 12:16:23 PM
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