Systran (Machine Translation API) Connector for AI agents.
5 live capabilities
Translate documents and detect languages with professional linguistic accuracy.
Waiting for input…
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.
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
- Real-world use case 01
Building a multi-lingual chat app
A developer needs to build a chat app.
- Real-world use case 02
Translating 50-page technical manuals
A content team has a massive PDF.
- 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).
01—03
3 capabilities in this set.
Part of 5 available through Systran (Machine Translation API).
- 01 Capability
Dictionary lookup
Search for specific terms in Systran or custom dictionaries to get precise definitions. This helps maintain technical accuracy.
- 02 Capability
Translate file
Send a document for translation and receive a request ID to track the progress. It preserves your original formatting.
- 03 Capability
Translate text
Convert text between languages, with an auto-detect option for the source language. It supports HTML and annotations.
04—05
2 capabilities in this set.
Part of 5 available through Systran (Machine Translation API).
- 04 Capability
Extract morphology
Pull out grammatical information and word forms from any given piece of text. This is useful for deep linguistic processing.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Systran (Machine Translation API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API) URL.
- Step 03
Save and start
Save the connection and enable Systran (Machine Translation API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"systran-machine-translation-api": {
"url": "https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API)
Open Agent mode in chat and ask: "Using Systran (Machine Translation API), help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"systran-machine-translation-api": {
"url": "https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API)
Ask Copilot: "Using Systran (Machine Translation API), help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"systran-machine-translation-api": {
"url": "https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API)
Open Cascade and ask: "Using Systran (Machine Translation API), help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"systran-machine-translation-api": {
"url": "https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API)
Ask Cline: "Using Systran (Machine Translation API), help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add systran-machine-translation-api --transport http "https://edge.vinkius.com/vk_preview_eJSJkgLscMHLWFENWD9sFBYMAlFXVDx9gAgR6jkt/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 Systran (Machine Translation API)
Ask Claude: "Using Systran (Machine Translation API), show me...". 5 tools are ready
Where the request belongs
Work Systran can move forward.
Localization leads who need consistent terminology, full-stack developers building multi-lingual apps, and linguists doing deep research on foreign texts.
Localization Manager
Verifying translations across a global product launch to ensure brand consistency.
Full-stack Developer
Building an app that needs to detect user languages automatically to route content correctly.
Linguistics Researcher
Analyzing the grammatical structure of non-English texts for academic study or data mining.
Build the capability set
Add more capabilities.
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Automate translation workflows via Smartling. manage projects, create jobs, upload content, and download translations directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Systran 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 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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