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Connect DeepL to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get nuanced, tone-aware translations directly within your AI workflow.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 14 capabilities

We ship only the actions that matter.

Capability set01 / 04

01-04

4 capabilities in this set.

Part of 14 available through DeepL.

  1. 01

    Create glossary

    This capability builds a new custom glossary for consistent term mapping.

  2. 02

    Delete glossary

    Use this to remove an existing glossary from your DeepL account.

  3. 03

    Get document status

    This capability checks the current progress of a submitted document translation.

  4. 04

    List glossaries

    This capability returns a list of all your saved glossaries.

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 14 available through DeepL.

  1. 05

    Translate formal

    This capability performs translations using a formal tone for professional contexts.

  2. 06

    Get glossary

    Use this to retrieve the specific details of a single glossary.

  3. 07

    Get glossary entries

    This capability pulls the specific term pairs stored within a glossary.

  4. 08

    Get usage

    This capability checks your current API character consumption and remaining quota.

Capability set03 / 04

09-11

3 capabilities in this set.

Part of 14 available through DeepL.

  1. 09

    List glossary language pairs

    This capability shows which language combinations are supported for your glossaries.

  2. 10

    List source languages

    This capability provides a list of all available source languages.

  3. 11

    List target languages

    This capability provides a list of all available target languages.

Capability set04 / 04

12-14

3 capabilities in this set.

Part of 14 available through DeepL.

  1. 12

    Translate informal

    This capability performs translations using an informal tone for casual contexts.

  2. 13

    Translate text

    This capability handles standard text translation between languages.

  3. 14

    Translate with glossary

    This capability translates text while applying your custom glossary terms.

Real work

What teams actually run

01

Brand Localization

Use glossaries to ensure your product names and technical terms are never mistranslated in new markets.

02

Social Media Management

Translate posts into multiple languages while toggling between formal and informal tones.

03

API Monitoring

Keep track of your DeepL character usage to avoid hitting limits during large translation tasks.

04

Document Translation Tracking

Check the status of large files being processed by the DeepL engine.

Automate a task

Put DeepL to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

DeepL works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put DeepL to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

986ms average. Fast in production.

DeepL is checked daily against the live service.

Daily averagePeak 1162ms
Oct 3Today
Fastest day
774ms
Slowest day
1162ms
14-day trend
Slowing+19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 14 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of DeepL, so you can see the experience inside your AI.

It does not authenticate your account with DeepL. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

DeepL Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — DeepL capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "deepl-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5oECiqSmzlOUOddDschUcI8F03XBgMpmjUO0ibrW/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up DeepL in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work DeepL owners hand off.

This MCP is built for professionals who need high-quality, consistent translations within their existing AI workflows.

  • 01

    Localization Teams

    They hand off marketing copy and documentation to the AI to ensure brand terms stay consistent via glossaries.

  • 02

    Content Creators

    They use the agent to translate blog posts and social media content while adjusting the tone for different markets.

  • 03

    Developers

    They integrate high-quality translation into automated workflows and monitor API consumption.

FAQ

Questions DeepL owners ask.

  • 01

    How do I use my own brand terms in translations?

    You can create a custom glossary using the create_glossary capability. Once created, your agent can use translate_with_glossary to ensure those specific terms are used every time.

  • 02

    Can I change the tone of the translation?

    Yes. You can specifically request formal or informal translations using the translate_formal or translate_informal capabilities.

  • 03

    How do I know how many characters I have left?

    You can ask your agent to check your usage, which triggers the get_usage capability to show your consumed and remaining character count.

  • 04

    Which AI clients can use this MCP?

    This MCP works with any compatible client, including Claude, Cursor, and Windsurf.

  • 05

    Do I need my own DeepL account?

    Yes, you will need to provide your own DeepL API Key to connect the MCP to your account.

  • 06

    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.

  • 07

    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.

  • 08

    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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