Smartling (Translation Workflow API) Connector for AI agents.
7 live capabilities
Manage your localization projects and translation jobs from a single chat.
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Why people use Smartling (Translation Workflow API)
Smartling for Automated Localization Workflows
This Connector changes the flow by bringing the Smartling platform into your chat. Instead of opening a new tab, you just tell your agent to upload a file or check a project status. You get a unified experience where the heavy lifting happens in the background, leaving you with a clear view of your localization progress.
What Vinkius changes
You stop manual data entry and start managing localization through natural language.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking multiple project statuses
A localization manager needs to check statuses for 10 different apps.
- Real-world use case 02
Pushing new UI strings
A developer is ready to push a new set of UI strings.
- Real-world use case 03
Providing visual context for a translator
A content team notices a translator is struggling with a button's placement.
Complete set · 7capabilities
The complete Smartling (Translation Workflow API) capability set.
These are the exact actions your AI can choose when you ask it to work with Smartling (Translation Workflow API).
01—04
4 capabilities in this set.
Part of 7 available through Smartling (Translation Workflow API).
- 01 Capability
Add content to job
Add specific content to an existing translation job. This keeps your linguists focused on the right tasks.
- 02 Capability
Create job
Create a new translation job within a project. Use this to start new localization cycles instantly.
- 03 Capability
Download translated file
Download a finished translation file for your project. This gets the final text back into your hands.
- 04 Capability
Get project
Get specific details for a Smartling project. Use it to check project status or IDs quickly.
05—07
3 capabilities in this set.
Part of 7 available through Smartling (Translation Workflow API).
- 05 Capability
List projects
List all your active Smartling projects. This gives you a bird's-eye view of your localization work.
- 06 Capability
Upload context
Upload visual context for your translators. Help them understand the UI by providing screenshots.
- 07 Capability
Upload file
Upload a source file for translation. Send your JSON, XML, or HTML files directly to the platform.
Set up in minutes
One URL. Then ask Smartling (Translation Workflow API) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Smartling (Translation Workflow 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_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Smartling (Translation Workflow API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API) URL.
- Step 03
Save and start
Save the connection and enable Smartling (Translation Workflow API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"smartling-translation-workflow-api": {
"url": "https://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API)
Open Agent mode in chat and ask: "Using Smartling (Translation Workflow API), help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"smartling-translation-workflow-api": {
"url": "https://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API)
Ask Copilot: "Using Smartling (Translation Workflow API), help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"smartling-translation-workflow-api": {
"url": "https://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API)
Open Cascade and ask: "Using Smartling (Translation Workflow API), help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"smartling-translation-workflow-api": {
"url": "https://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API)
Ask Cline: "Using Smartling (Translation Workflow API), help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add smartling-translation-workflow-api --transport http "https://edge.vinkius.com/vk_preview_5QcDqXV1nvbDFmYjGLXZ24BExH2qTP4svbYsNGAe/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 Smartling (Translation Workflow API)
Ask Claude: "Using Smartling (Translation Workflow API), show me...". 7 tools are ready
Where the request belongs
Work Smartling can move forward.
This is for the localization manager who's drowning in tickets, the dev who hates manual file uploads, and the content lead who needs to keep the translation pipeline moving without constant status checks.
Localization Manager
Monitors job progress and creates translation tasks from a chat window on a Tuesday afternoon.
Software Developer
Uploads resource files and pulls translations directly into the workspace to avoid dashboard fatigue.
Content Strategist
Attaches visual references to strings to ensure high-quality localizations for complex UI elements.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Localazy (AI Translation & Localization API)
Manage software localization and translations via Localazy. list projects, import content, manage source keys, and handle glossary terms directly from your AI agent.
Transifex
Localize your projects efficiently using AI Agents with the official Transifex integration.
Weglot
Automate website translation and localization. check API status, list supported languages, and translate text arrays directly via Weglot.
Crowdin
Equip your AI agent to manage localization projects, files, and translations directly via the Crowdin API.
Bring your own AI
Change the model, client or framework. Keep Smartling 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 Smartling.
The practical details behind the request, access and result.
Can the Smartling MCP actually translate my text?
No, this Connector manages the workflow. It lets your agent handle the admin tasks like creating jobs, uploading files, and checking statuses within the Smartling platform. The actual translation still happens through Smartling's services or your linguists.
How does the Smartling MCP help with localization accuracy?
It helps by making it easier to provide context. You can use your agent to upload screenshots or HTML context directly to a job, so your translators see exactly where the text will appear in your app.
Can I use the Smartling MCP to upload my JSON files?
Yes. You can tell your agent to upload source files like JSON, XML, or HTML directly to a specific job. It handles the upload for you without you having to leave your chat window.
Is the Smartling MCP good for developers?
It's great for devs because it lets you pull translations and push new resource files directly from your workspace. You can manage the entire i18n pipeline without switching back and forth to a web dashboard.
What projects can I see with the Smartling MCP?
You can see every project connected to your Smartling account. Your agent can list them all, check specific project details, and help you organize your localization landscape in one place.
Can I upload a file and have it immediately ready for translation?
Yes! When using the upload_file capability, set the authorize parameter to true. This will automatically authorize the content for translation in your project.
How do I group multiple files into a single translation task?
First, use create_job to create a new translation job. Then, use add_content_to_job for each file URI you want to associate with that specific job UID.
Can I provide visual context to help translators?
Absolutely. Use the upload_context capability to send visual references (like screenshots or HTML) to your project, ensuring higher translation quality.
One connection away
Give your agent a direct line to Smartling.
Connect Smartling once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available