DeepL Connector for AI agents.
14 live capabilities
Translate content into 30+ languages with consistent brand terminology.
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Why people use DeepL
DeepL Translation for Consistent Global Branding
This Connector changes that by putting the translation engine directly into your AI agent. You can request translations with specific tones or brand glossaries applied in a single step. You get perfectly consistent results without ever leaving your chat interface.
What Vinkius changes
You get professional translations and glossary control directly inside your AI chat.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Maintaining brand consistency for global launches
A marketing manager needs to translate a blog post into French but wants to make sure "Cloud Sync" is always translated as "Synchronisation Cloud.
- Real-world use case 02
Adapting social media tone for different regions
A content creator wants to translate a tweet into Japanese.
- Real-world use case 03
Monitoring budget for high-volume translation
A localization lead needs to know how much of their monthly character limit is left.
Complete set · 14capabilities
The complete DeepL capability set.
These are the exact actions your AI can choose when you ask it to work with DeepL.
01—04
4 capabilities in this set.
Part of 14 available through DeepL.
- 01 Capability
Create glossary
Create a new glossary to keep your brand terms consistent. This ensures your AI agent uses your preferred vocabulary.
- 02 Capability
Delete glossary
Remove a glossary you no longer need from your account. This helps keep your workspace organized.
- 03 Capability
Get document status
See how far along a large document translation is. This is useful for long-running file tasks.
- 04 Capability
Get glossary entries
Look up the specific term pairs inside a glossary. Use this to verify how your brand terms are mapped.
05—08
4 capabilities in this set.
Part of 14 available through DeepL.
- 05 Capability
Get glossary
View the full details of a specific glossary. This provides a quick look at your custom translation rules.
- 06 Capability
Get usage
Check how many characters you've used and what's left in your quota. This helps you stay on budget.
- 07 Capability
List glossaries
See a list of all the glossaries you've created. This makes it easy to manage multiple brand sets.
- 08 Capability
List glossary language pairs
See which language combinations are available for glossaries. This helps you plan your localization strategy.
09—11
3 capabilities in this set.
Part of 14 available through DeepL.
- 09 Capability
List source languages
See all the languages you can translate from. Use this to check global coverage for your project.
- 10 Capability
List target languages
See all the languages you can translate into. This helps you identify new markets for expansion.
- 11 Capability
Translate formal
Translate a piece of text using a formal tone. This is perfect for business correspondence and legal docs.
12—14
3 capabilities in this set.
Part of 14 available through DeepL.
- 12 Capability
Translate informal
Translate a piece of text using an informal tone. Use this for social media and casual marketing.
- 13 Capability
Translate text
Translate a piece of text into a target language. This is the primary capability for quick content conversion.
- 14 Capability
Translate with glossary
Translate text while forcing the use of your custom brand terms. This ensures your brand identity remains intact.
Set up in minutes
One URL. Then ask DeepL to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use DeepL 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_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable DeepL for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL URL.
- Step 03
Save and start
Save the connection and enable DeepL in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"deepl-alternative": {
"url": "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL
Open Agent mode in chat and ask: "Using DeepL, help me...". 14 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"deepl-alternative": {
"url": "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL
Ask Copilot: "Using DeepL, help me...". 14 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"deepl-alternative": {
"url": "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL
Open Cascade and ask: "Using DeepL, help me...". 14 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"deepl-alternative": {
"url": "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL
Ask Cline: "Using DeepL, help me...". 14 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add deepl-alternative --transport http "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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 DeepL
Ask Claude: "Using DeepL, show me...". 14 tools are ready
Where the request belongs
Work DeepL can move forward.
Localization managers who need to keep brand terms consistent across 20 languages, and content creators who need to move into new markets without losing their unique voice.
Localization Manager
Manages brand consistency and glossary entries for global product launches.
Marketing Copywriter
Translates social posts and ads while choosing between formal and informal tones.
Full-stack Developer
Integrates high-quality translation into automated workflows and monitors API costs.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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LibreTranslate API
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Smartling (Translation Workflow API)
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Bring your own AI
Change the model, client or framework. Keep DeepL connected.
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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 DeepL.
The practical details behind the request, access and result.
Can DeepL MCP handle different tones for my content?
Yes, it can. You can specifically ask your agent to use formal or informal tones, which is helpful for making sure your social media posts sound friendly while your business documents stay professional.
How does the DeepL glossary feature work?
It allows you to set specific translations for your brand terms. For example, you can ensure your product names always stay the same in every language, preventing the AI from using generic alternatives.
Can I see my DeepL API usage through the Connector?
Yes, you can ask your agent to check your character usage at any time. It will show you how much of your quota you have left and when your billing period resets.
Does DeepL MCP support many languages?
It supports over 30 languages, including major global languages and many others. You can ask your agent to list all available target languages whenever you need to check.
How do I check the status of a large document translation?
When you submit a large document for translation, you can ask your agent to check the status. It will tell you how far along the process is so you don't have to wait around wondering.
Is this good for keeping brand consistency?
It is specifically designed for that. By using the glossary capabilities, you ensure that your unique brand terms are never lost or changed during the translation process.
Can I control the formality of translations (formal vs. informal)?
Yes! Use translate_formal for professional communications (e.g., contracts, official correspondence) or translate_informal for casual content (e.g., social media, chat). The standard translate_text capability also accepts an optional formality parameter ('more', 'less', or 'default'). Note: formality control is available for select target languages including DE, FR, ES, PT-BR, and others.
Can I create custom glossaries to ensure consistent terminology?
Yes. Use create_glossary with a name, source language, target language, and TSV entries (tab-separated source→target pairs). Then use translate_with_glossary to apply the glossary during translation. Use list_glossaries to see all glossaries, get_glossary_entries to inspect term pairs, and list_glossary_language_pairs for supported combinations.
How does DeepL authentication differ from standard Bearer tokens?
DeepL uses a custom Authorization header format: DeepL-Auth-Key YOUR_KEY (not Bearer). Your API key is generated from the DeepL account dashboard. Free accounts use api-free.deepl.com, while Pro accounts use api.deepl.com. Use get_usage to check your current character consumption and plan limits.
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