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Vinkius

Systran (Machine Translation API) Connector for AI agents.

5 live capabilities

Translate documents and detect languages with professional linguistic accuracy.

Live agent request Systran (Machine Translation API) / Connector

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AI Agent

Why people use Systran (Machine Translation API)

Systran for Professional Localization and Translation

With this Connector, your agent handles the whole pipeline. It preserves your tags, checks the dictionary for you in one go, and keeps your layout intact. You get professional results without the manual overhead.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get professional-grade translation and linguistic data without having to manage the underlying API complexity.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Building a multi-lingual chat app

    A developer needs to build a chat app.

  2. Real-world use case 02

    Translating 50-page technical manuals

    A content team has a massive PDF.

  3. Real-world use case 03

    Extracting grammar from foreign texts

    A researcher has a wall of German text.

Complete set · 5capabilities

The complete Systran (Machine Translation API) capability set.

These are the exact actions your AI can choose when you ask it to work with Systran (Machine Translation API).

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 5 available through Systran (Machine Translation API).

  1. 01 Capability

    Dictionary lookup

    Search for specific terms in Systran or custom dictionaries to get precise definitions. This helps maintain technical accuracy.

  2. 02 Capability

    Translate file

    Send a document for translation and receive a request ID to track the progress. It preserves your original formatting.

  3. 03 Capability

    Translate text

    Convert text between languages, with an auto-detect option for the source language. It supports HTML and annotations.

Capability set02 / 02

04—05

2 capabilities in this set.

Part of 5 available through Systran (Machine Translation API).

  1. 04 Capability

    Extract morphology

    Pull out grammatical information and word forms from any given piece of text. This is useful for deep linguistic processing.

  2. 05 Capability

    Detect language

    Identify the language of a text string with high confidence scores. Use this to automatically route users to the right content.

Set up in minutes

One URL. Then ask Systran (Machine Translation API) to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Systran (Machine Translation API) from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Systran (Machine Translation API), and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Systran (Machine Translation API) for the conversation.

Where the request belongs

Work Systran can move forward.

Built around the request

Localization leads who need consistent terminology, full-stack developers building multi-lingual apps, and linguists doing deep research on foreign texts.

01

Localization Manager

Verifying translations across a global product launch to ensure brand consistency.

02

Full-stack Developer

Building an app that needs to detect user languages automatically to route content correctly.

03

Linguistics Researcher

Analyzing the grammatical structure of non-English texts for academic study or data mining.

Bring your own AI

Change the model, client or framework. Keep Systran connected.

  • Claude
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Before you connect

Questions about Systran.

The practical details behind the request, access and result.

Can Systran MCP handle HTML tags?

Yes, it supports HTML and annotations. This means your web content stays functional and correctly formatted after it is translated.

Does it keep my document formatting?

Yes, the document translation capability is designed to preserve the original layout and structure of your files.

Can I use my own dictionary?

Yes, the capability allows for lookups in both professional databases and your own user-defined dictionaries for specific terminology.

How does it detect languages?

It uses high-confidence detection to identify the source language of any text string, which is perfect for routing users to the right content.

Is it good for linguistic research?

Yes, it is excellent for research because it can extract specific grammatical information and parts of speech from foreign texts.

Can I translate large files?

Yes, you can submit documents for translation and receive a request ID to track the progress of the asynchronous task.

Does it support multiple languages?

It supports translation between dozens of different languages, making it suitable for global localization projects.

Can I translate HTML content while preserving the tags?

Yes! Use the translate_text capability and set the format parameter to 'html'. The engine will translate the text content while keeping your HTML structure intact.

How do I find the specific meaning of a technical term in another language?

Use the dictionary_lookup capability. Provide the term in the input field along with the source and target language codes to get professional dictionary definitions and translations.

Can the AI identify a language if I don't know what it is?

Absolutely. Use the detect_language capability with any text input. The server will return the detected language code and confidence level.

One connection away

Give your agent a direct line to Systran.

Connect Systran once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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