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Cursor Video Translator

Connect VMEG to Cursor to translate, dub, and localize videos in 170+ languages from inside your IDE. Use VMEG through the Cursor MCP directory or the VMEG Remote MCP server to add AI-powered video translation to your coding workflow.

What Is a Cursor Video Translator?

A Cursor video translator is a workflow that pairs Cursor's AI coding agent with a video translation engine. You add a VMEG MCP server to Cursor, and your agent can take a video file or link, hand it off to VMEG for translation and dubbing, then return the localized output — all from the same chat panel you already use to write code.

Cursor is built for software work, not media. It does not decode the audio in an MP4 on its own. To translate a video "with Cursor," you connect it to a tool that handles the media pipeline. VMEG is that tool. Once connected through the Cursor MCP directory, Cursor can:

  • Receive a video file reference, local file path, or YouTube URL from the user in the agent chat.
  • Call VMEG MCP tools (such as `vmeg_create_video_translation_task`) to create and manage the localization task.
  • Monitor the task status and retrieve the translated, dubbed, and lip-synced output when it is ready.
  • Return the finished video file or download link in the agent response.

This is useful for engineers, technical writers, and product teams who already live in Cursor and want video localization to feel like any other CLI tool call.

Cursor connected to VMEG video translation workflow

How to Translate a Video with Cursor (Step by Step)

You have two ways to get started.

Option 1

Option 1 — Add VMEG through the Cursor MCP directory

MCP

upload

Dubbing

1. Open Cursor and go to Settings → MCP → Add new global MCP server.

2. Search for VMEG in the directory and click Install.

3. Sign in with your VMEG account and authorize the connector.

4. Open a new agent chat and type: *"Translate ./demo.mp4 to French with VMEG."*

5. Cursor will call VMEG and return the localized video path in the same response.

Open Cursor → Settings → MCP

Option 2

Option 2 — Manual MCP setup (works today)

API key

mcp.json

Dubbing

1. Open Cursor → Settings → Tools & MCP, then click New MCP Server (or edit ~/.cursor/mcp.json).

2. Add the following configuration, replacing YOUR_API_KEY with your VMEG API Key:

  • URL: https://www.vmeg.ai/api/mcp
  • Authorization: Bearer YOUR_API_KEY

3. Save the configuration and refresh MCP (or reload Cursor). The VMEG MCP server will then be available in Cursor Agent Chat.

Full instructions

Why Use VMEG as Your Cursor Video Translator

Complete Video Localization

Go beyond subtitle translation. Generate AI dubbing, lip sync, multilingual subtitles, and production-ready localized videos from a single workflow.

AI dubbing, lip sync, and multilingual subtitles in one workflow

Built for AI Automation

Every capability is exposed through MCP, making it easy to automate video localization inside Cursor, AI agents, or custom workflows.

VMEG MCP tools chainable in Cursor and AI agent workflows

One Platform, No Extra Cost

Use your existing VMEG credits with no additional fees. Every MCP request runs on the same production-grade engine that powers vmeg.ai.

Same VMEG credits and production engine as vmeg.ai

What You Can Translate with Cursor + VMEG

One secure platform for professional AI dubbing pipeline

Media type
Local video file
Local audio file
YouTube link
Subtitle file
Supported inputs
MP4, MOV, WEBM, MKV
MP3, WAV, M4A
Any public YouTube URL
SRT, VTT
Output
Translated + dubbed video with optional lip-sync
Translated audio in target language
Translated + dubbed video
Translated subtitles in target language

170+ target languages

**Voice cloning** to keep the original speaker's tone

Lip-sync

for translated mouth movement

Speaker detection

with auto-labeled multi-speaker output

Subtitle generation

burned-in or exportable SRT/VTT

Full instructions

Common Use Cases

Developer advocates & dev rel

Auto-localize conference talks and tutorial recordings into 10 languages for global release.

Indie hackers & SaaS teams

Translate product demo videos in the same repo where the product is built.

Technical writers

Generate localized screen recordings for non-English documentation.

Frequently

Asked

Questions

Can Cursor translate a video by itself?

No. Cursor is a coding agent — it does not process audio or video on its own. To translate a video file, you connect Cursor to a video translation engine through MCP. VMEG is that engine.

Do I need a paid Cursor plan?

MCP support is available on paid Cursor plans. VMEG itself has a free tier; production usage draws on VMEG plan credits.

How long does a 5-minute video take?

Usually 5–15 minutes, depending on language pair and whether lip-sync is enabled.

Can I keep the original speaker's voice?

Yes. VMEG's voice cloning preserves the original speaker's tone, pacing, and timbre in the target language. You can also pick from 100+ stock voices.

Does the output come back with lip-sync?

Yes, lip-sync is on by default for video outputs. You can disable it in the task settings for faster rendering.

What languages are supported?

170+ languages including Spanish, French, German, Mandarin, Japanese, Korean, Arabic, Hindi, Portuguese, Russian, Italian, Dutch, and more. Full list at https://www.vmeg.ai/.

Is my video uploaded to Cursor?

Files are processed by VMEG through an encrypted MCP channel. You retain ownership of your content. See VMEG's privacy policy for details.

Can I use VMEG tools from a script?

Yes. Every VMEG capability is exposed as an MCP tool, so Cursor's agent can call them from a script, a Composer task, or a background subagent.

What if the Cursor MCP directory doesn't list VMEG yet?

Use the manual `mcp.json` setup above. It works today. The one-click directory install is rolling out this week.