Screenshot MCP (macOS)

A macOS-based MCP server that allows for capturing screenshots of displays and windows, as well as recording window activity to MP4 files. It leverages a Swift CLI backend to interact with macOS CoreGraphics and AVFoundation APIs for seamless screen capture management.

→ FrontMage/screenshot_mcp · listed on glama

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// key findings

⚠️

Known vulnerabilities in dependencies: 2 high

Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// known CVEs in dependencies2 high

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

high@modelcontextprotocol/sdk@1.0.0GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.0.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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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.

configSCREENSHOT_MCP_BIN— path to the compiled Swift binary

configSCREENSHOT_MCP_OUTPUT_DIR— default output directory for screenshots

// 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 4 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/frontmage-screenshot-mcp-k8hbtr)](https://m8ven.ai/mcp/frontmage-screenshot-mcp-k8hbtr)

commit: c51e0b5cadef1fd7afd13f713245fe95c519a9a5

code hash: 9d9c89903abbaffa3657ba3508cf75421845dce7066be22f14e5b823228504da

verified: 6/12/2026, 11:09:04 AM

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