Maestra Connector for AI agents.
8 live capabilities
Automate transcription, translation, and AI dubbing for global media content.
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Why people use Maestra
Maestra for Automated Media Transcription and Translation
With the Maestra MCP, you can just tell your agent to handle the whole chain. You provide the URL, and the agent takes care of the transcription, translation, and export. You get the final files ready for your video without ever having to leave your chat interface.
What Vinkius changes
You get a hands-off way to turn raw video or audio into localized, transcribed content.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
YouTube Channel Growth
A creator has a library of English videos and needs them dubbed into Spanish and French to reach new audiences.
- Real-world use case 02
Corporate Training
A company needs to transcribe 50 hours of internal meetings and translate them into a searchable PDF format for employees using translate_transcription.
- Real-world use case 03
Podcast Localization
A podcaster wants to automatically generate transcripts and then translate them into 10 different languages for a global newsletter.
Complete set · 8capabilities
The complete Maestra capability set.
These are the exact actions your AI can choose when you ask it to work with Maestra.
01—04
4 capabilities in this set.
Part of 8 available through Maestra.
- 01 Capability
List available ai voices
See all the different synthetic voices you can use. This helps you pick the right tone for your specific dubbing project.
- 02 Capability
Export transcription results
Get a temporary download link for your finished transcription. It's the easiest way to grab your final SRT or PDF files.
- 03 Capability
List maestra files
See every audio and video file currently in your Maestra account. Use this to keep track of your project's media assets.
- 04 Capability
List account folders
View all the folders you've created in your Maestra account. It helps keep your large media library organized.
05—08
4 capabilities in this set.
Part of 8 available through Maestra.
- 05 Capability
Get file details
Check the specific status and details of any file. This lets you see if a transcription is finished or still processing.
- 06 Capability
Translate transcription
Turn an existing transcript into a new language. It supports over 125 different languages for global reach.
- 07 Capability
Upload media for transcription
Send a public URL to Maestra to start a new transcription job. It handles both audio and video files automatically.
- 08 Capability
Generate ai voiceover
Create a synthetic voiceover for your media file. You can choose from a wide range of available AI voices.
Set up in minutes
One URL. Then ask Maestra to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Maestra from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Maestra, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Maestra for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Maestra URL.
- Step 03
Save and start
Save the connection and enable Maestra in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"maestra": {
"url": "https://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Maestra
Open Agent mode in chat and ask: "Using Maestra, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"maestra": {
"url": "https://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Maestra
Ask Copilot: "Using Maestra, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"maestra": {
"url": "https://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Maestra
Open Cascade and ask: "Using Maestra, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"maestra": {
"url": "https://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Maestra
Ask Cline: "Using Maestra, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add maestra --transport http "https://edge.vinkius.com/vk_preview_AZGbR7BW9QIjxZkHcs2lMXWL4aOuWh1rRWZhzJIl/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Maestra
Ask Claude: "Using Maestra, show me...". 8 tools are ready
Where the request belongs
Work Maestra can move forward.
This is for content creators who are drowning in subtitle work, localization managers needing to scale dubbing, and developers building media-heavy apps.
Content Creator
Uses the Connector to batch process 50 videos at once so they can hit multiple platforms without manual typing.
Localization Manager
Coordinates translations into 125+ languages for a global brand without hiring a massive team for every small task.
Media Developer
Integrates transcription and voiceover logic into a custom app to give users automated captions.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSpeechmatics
Automate speech-to-text and text-to-speech. transcribe audio files, generate natural voices, and manage transcription jobs directly.
Verbit
Automate professional transcription and captioning via Verbit. upload media, track job progress, and retrieve transcripts in multiple formats directly from your AI agent.
Rev.com
Automate human-powered transcription via Rev.com. manage orders, captions, and file metadata with AI.
Sonix
Automate transcription, translation, and media management via Sonix. transcribe audio/video, generate subtitles, and create AI summaries directly from any AI agent.
AssemblyAI
Transcribe and audit audio. manage speech-to-text jobs via AI.
3Scribe
Automated audio and video transcription. create jobs, monitor progress, and retrieve text via AI.
Bring your own AI
Change the model, client or framework. Keep Maestra connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Maestra.
The practical details behind the request, access and result.
Can the Maestra MCP handle video files for transcription?
Yes, it handles both audio and video files. You just provide a public URL for the media, and the Connector handles the rest.
How many languages can I translate my transcripts into with Maestra?
You can translate your transcripts into over 125 different languages, making it a great choice for global content distribution.
Does the Maestra MCP support SRT and VTT files?
Yes, it can generate export links for several formats, including SRT, VTT, PDF, and JSON, so you can easily use them in your video player.
Is there a way to check if my transcription is finished?
Yes, you can ask your agent to check the status of any specific file. It will tell you if the file is still processing or ready to be exported.
Can I use Maestra MCP to create AI voiceovers for my content?
Absolutely. You can use it to generate high-quality synthetic voiceovers for your media files using a wide variety of different AI voices.
You can use the Connector to list all your files and folders. This helps you keep your assets organized and easy to find when you're working with your agent.
How do I start a transcription for a public video?
Use the upload_media_for_transcription capability and provide the public file_url along with the source language code (e.g., 'en' for English).
Can I choose which AI voice to use for dubbing?
Yes, first use the list_available_ai_voices capability to find a voice ID that matches your target language and gender, then provide it to the generate_ai_voiceover capability.
What formats can I export my transcripts in?
The export_transcription_results capability supports formats such as 'srt', 'vtt', 'txt', 'pdf', and 'json'.
One connection away
Give your agent a direct line to Maestra.
Connect Maestra once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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