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Connect DeepL (Alternative) 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. Bring professional linguistic nuance to your AI workflows.

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

    Delete glossary

    This capability removes an existing glossary from your DeepL account.

  2. 02

    Get document status

    Use this to check the current progress of a document translation you have submitted.

  3. 03

    Get glossary

    This capability retrieves the specific details of a selected glossary.

  4. 04

    Get glossary entries

    Get a list of all term pairs stored within a specific glossary.

Capability set02 / 04

05-08

4 capabilities in this set.

Part of 14 available through DeepL.

  1. 05

    Get usage

    Check your current API character consumption and remaining quota.

  2. 06

    List glossary language pairs

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

  3. 07

    List target languages

    Get a full list of all languages you can translate into.

  4. 08

    Translate formal

    This capability performs a translation using a formal tone.

Capability set03 / 04

09-11

3 capabilities in this set.

Part of 14 available through DeepL.

  1. 09

    Translate text

    Use this to translate standard text into a target language.

  2. 10

    Translate with glossary

    This capability translates text while applying the terms from a specific glossary.

  3. 11

    Create glossary

    Create a new glossary using TSV term pairs.

Capability set04 / 04

12-14

3 capabilities in this set.

Part of 14 available through DeepL.

  1. 12

    List glossaries

    Retrieve a list of all glossaries currently in your account.

  2. 13

    List source languages

    Get a list of all languages that can be used as the source for translation.

  3. 14

    Translate informal

    This capability performs a translation using an informal tone.

Real work

What teams actually run

01

Brand Localization

Translate product descriptions using a glossary to ensure brand names and technical terms remain unchanged.

02

Social Media Management

Convert English marketing posts into informal Brazilian Portuguese or formal German with one command.

03

Workflow Automation

Use an agent to monitor the status of large document translations as they process.

04

API Monitoring

Keep track of character counts and billing cycles without leaving your coding environment.

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

1006ms average. Fast in production.

DeepL is checked daily against the live service.

Daily averagePeak 1280ms
Oct 3Today
Fastest day
781ms
Slowest day
1280ms
14-day trend
Slowing+16%

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_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yNroyvaUx8hPiyeyRuWstXwW5t0q718yFAwXW0vc/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-accuracy translations that respect specific brand voices and technical terms.

  • 01

    Localization Teams

    They hand off marketing copy and documentation to the agent to ensure consistent terminology via glossaries.

  • 02

    Content Creators

    They use the agent to translate social media and blog posts with the correct regional formality.

  • 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 glossary using the create_glossary capability. Once created, your agent can use the translate_with_glossary capability 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 and translate_informal capabilities.

  • 03

    Which AI clients can use this MCP?

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

  • 04

    How can I see how many characters I have left?

    You can ask your agent to check your usage, which triggers the get_usage capability to show your remaining quota.

  • 05

    Does this support document translations?

    Yes, you can monitor the progress of submitted document translations using the get_document_status capability.

  • 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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