DeepL Connector for AI agents.
14 live capabilities
Localize content with professional accuracy.
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Why people use DeepL
DeepL Translation for Global Content Localization
With this Connector, you just tell your agent what you need. It handles the translation, the tone, and the brand terms in one step. You get a finished product ready for publication without the manual overhead.
What Vinkius changes
You get a direct bridge between your AI agent and professional-grade translation without the manual copy-pasting.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Translating a product description into 10 languages
A localization manager asks their agent to translate a description into 10 languages using translate_text_standard.
- Real-world use case 02
Localizing a web landing page
A developer uses translate_html_markup to swap out text on a page while keeping the buttons and links functional.
- Real-world use case 03
Writing a casual social media post
A social media manager needs a friendly vibe for a tweet in French and uses translate_text_informal to get the right tone.
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 glossary
- 02 Capability
Delete glossary
Delete a glossary
- 03 Capability
Get document status
Check document translation status
- 04 Capability
Get glossary entries
Get glossary entries
05—08
4 capabilities in this set.
Part of 14 available through DeepL.
- 05 Capability
Get glossary
Get glossary details
- 06 Capability
Get usage
Check API usage
- 07 Capability
List glossaries
List glossaries
- 08 Capability
List glossary language pairs
List glossary language pairs
09—11
3 capabilities in this set.
Part of 14 available through DeepL.
- 09 Capability
List source languages
List source languages
- 10 Capability
List target languages
List target languages
- 11 Capability
Translate formal
Translate with formal tone
12—14
3 capabilities in this set.
Part of 14 available through DeepL.
- 12 Capability
Translate informal
Translate with informal tone
- 13 Capability
Translate text
Translate text
- 14 Capability
Translate with glossary
Translate using glossary
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_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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": {
"url": "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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": {
"url": "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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": {
"url": "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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": {
"url": "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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 --transport http "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/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 are tired of manual translation cycles, content writers scaling to global markets, and operations leads who need to keep brand terminology consistent across every region.
Localization Manager
Audits translated segments and checks glossary metadata to ensure brand consistency across different regions.
Content Writer
Translates blog posts and social copy into multiple languages while maintaining a specific brand voice.
Operations Lead
Monitors API usage and character limits to keep the translation budget on track for the whole team.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDeepL
Translate text between 30+ languages with neural machine translation that captures nuance and tone better than generic engines.
Systran (Machine Translation API)
Professional machine translation and linguistic analysis via Systran. translate text, detect languages, and perform dictionary lookups.
Baidu Translate / 百度翻译
China's leading machine translation service. translate text and detect languages via AI.
LibreTranslate API
Translate and detect text. audit languages via AI.
Smartling (Translation Workflow API)
Automate translation workflows via Smartling. manage projects, create jobs, upload content, and download translations directly from any AI agent.
Caiyun AI Translate / 彩云小译
Popular high-precision machine translation. translate text lists and detect languages via AI.
Bring your own AI
Change the model, client or framework. Keep DeepL 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 DeepL.
The practical details behind the request, access and result.
Can DeepL MCP handle my website's HTML?
Yes, it can. The capability specifically preserves your HTML tags and structure while only translating the text content inside them.
How do I keep my brand terms consistent?
You can use brand glossaries. The Connector lets your agent access your configured terms so it always uses the correct names for your products and company.
Does it support different tones for different platforms?
Yes, it does. You can choose between formal tones for business documents and informal tones for social media or casual messages.
Can I see my DeepL API limits through the agent?
Yes, you can check your current character count and remaining limits directly through your AI client to stay on budget.
Is DeepL MCP good for social media translations?
It's excellent for that because it has a specific mode for informal and casual tones, which helps your content sound more natural.
What languages can I translate into with DeepL MCP?
You can list all supported target languages through your agent to see the full range of options, which includes dozens of global languages.
How do I find my DeepL API Key?
Log in to your DeepL account, and you will find your Authentication Key under the 'Account' tab. Copy and paste it below.
Does this work with both Free and Pro API keys?
Yes. This server automatically detects if you are using a Free key (ending in :fx) or a Pro key and routes requests to the correct endpoint.
Can the agent use glossaries?
Yes. You can list your existing glossaries via the get_glossaries capability and identify their IDs to maintain consistency in your agent-led translations.
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.
One connection away
Give your agent a direct line to DeepL.
Connect DeepL once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available