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glama

Shotcut MCP

Enables AI clients to create, edit, validate, preview, and render Shotcut projects (saved as MLT XML) without operating the GUI, using structured timeline editing tools and local safety mechanisms.

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// key findings
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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configSHOTCUT_MCP_ALLOWED_ROOTSOptional PATH-separator list of canonical roots available to MCP tools
configSHOTCUT_PATHShotcut application
configPROGRAMFILES
configSHOTCUT_MELT_PATHMelt executable
configSHOTCUT_FFPROBE_PATHFFprobe executable
configSHOTCUT_FFMPEG_PATHFFmpeg executable
configSHOTCUT_MCP_MAX_PROJECT_BYTESMaximum saved MLT project size, clamped to 1–512 MiB (default 128 MiB)
configSHOTCUT_MCP_MAX_INLINE_IMAGE_BYTESMaximum preview image embedded in an MCP result, clamped to the message budget (default 1 MiB; 0 disables)
configSHOTCUT_MCP_MAX_WORKERSConcurrent MCP tool requests, clamped to 1–8 (default 4)
configSHOTCUT_MCP_MAX_PENDINGMaximum in-flight tool requests or legacy batch items, clamped to 1–256 (default 32)
configSHOTCUT_MCP_MAX_MESSAGE_BYTESMaximum inbound or outbound newline-delimited MCP message size, clamped to 1 KiB–16 MiB (default 4 MiB)
// 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 1 concrete improvement 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/matrodrigs-shotcut-mcp-ttcjlc)](https://m8ven.ai/mcp/matrodrigs-shotcut-mcp-ttcjlc)
commit: a3d1098025a41e9c8b73200a56de991cc7cccee2
code hash: d24214404dde90e703c40d9e9acf974ba147e1875679e5daab8aa7dd7d488d9b
verified: 7/30/2026, 8:43:31 AM
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