Weglot Connector for AI agents.
4 live capabilities
Manage website translation and localization tasks from your AI client.
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Why people use Weglot
Weglot for Solving Manual Translation Bottlenecks
This Connector puts the Weglot translation engine right inside your AI client. You can ask your agent to verify language pairs or translate entire lists of text in seconds. You stop hunting for data and start moving content.
What Vinkius changes
You get a direct line to Weglot's translation engine without leaving your AI client.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Market Expansion Check
A manager needs to know if they can support Hindi for a new launch.
- Real-world use case 02
UI Localization
A developer has 50 button labels in a JSON file.
- Real-world use case 03
Content Audit
A content creator wants to see every language Weglot offers to plan a new global marketing campaign.
Complete set · 4capabilities
The complete Weglot capability set.
These are the exact actions your AI can choose when you ask it to work with Weglot.
01—04
4 capabilities in this set.
Part of 4 available through Weglot.
- 01 Capability
List languages
List all available languages supported by Weglot. Use this to see the full scope of dialects your agent can handle.
- 02 Capability
Get status
Check Weglot API status. Use this to make sure the service is up before you start a large translation job.
- 03 Capability
Translate text
Translate an array of sentences. This lets the agent process multiple lines of text into your target language in one go.
- 04 Capability
Check language support
Check if a specific translation pair is supported. This tells you immediately if you can translate between two specific languages.
Set up in minutes
One URL. Then ask Weglot to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Weglot 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_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Weglot for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot URL.
- Step 03
Save and start
Save the connection and enable Weglot in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"weglot": {
"url": "https://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot
Open Agent mode in chat and ask: "Using Weglot, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"weglot": {
"url": "https://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot
Ask Copilot: "Using Weglot, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"weglot": {
"url": "https://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot
Open Cascade and ask: "Using Weglot, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"weglot": {
"url": "https://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot
Ask Cline: "Using Weglot, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add weglot --transport http "https://edge.vinkius.com/vk_preview_8RUnOjnzRa4nz8W1zRRkBvADqALVDQD381qiKh8j/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 Weglot
Ask Claude: "Using Weglot, show me...". 4 tools are ready
Where the request belongs
Work Weglot can move forward.
Localization managers tired of manual copy-pasting, web developers building global apps, and content creators who need to scale their reach across different regions quickly.
Localization Manager
Verifies language support and tests translations in the chat to save time on manual checks.
Web Developer
Checks translation availability for new markets during the build phase to ensure smooth deployment.
Content Strategist
Translates large arrays of UI strings or marketing copy in bulk to maintain brand consistency.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsLokalise
Automate translation and localization workflows via Lokalise. manage projects, keys, and translations directly from any AI agent.
Weblate
Automate localization workflows via Weblate. manage projects, components, languages, and users directly from any AI agent.
Smartling (Translation Workflow API)
Automate translation workflows via Smartling. manage projects, create jobs, upload content, and download translations directly from any AI agent.
OneSky (App & Web Localization API)
Automate app and web localization via OneSky. manage project groups, track translation progress, and handle projects directly from your AI agent.
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.
Bring your own AI
Change the model, client or framework. Keep Weglot connected.
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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 Weglot.
The practical details behind the request, access and result.
How does the Weglot MCP help with my website's translations?
It lets your AI agent talk directly to the Weglot translation engine. You can check language support or translate text arrays without leaving your chat window.
Can I use the Weglot MCP to translate my entire website at once?
You can use the translate_text capability to handle large arrays of sentences. It's designed to process multiple pieces of content in one go rather than one by one.
How do I know if a specific language is supported by Weglot?
Just ask your AI agent. It uses the check_language_support capability to verify if the specific translation pair you need is available in the Weglot system.
Is the Weglot MCP good for large scale localization projects?
Yes, it's built for high-volume translation. It allows you to process large arrays of text and manage language data efficiently across many different dialects.
Does the Weglot MCP require a separate login for every task?
No, you just connect your Weglot API key once. After that, your AI agent can perform all the translation and language management tasks for you.
How can I verify if the Weglot API is currently online?
You can use the get_status capability. It performs a real-time health check to ensure the Weglot API is responsive and operational.
Can I check if a specific translation pair like English to German is supported?
Yes! Use the check_language_support capability by providing the source (languageFrom) and destination (languageTo) ISO codes.
What format should I use to translate multiple sentences at once?
The translate_text capability requires a words_json parameter. This should be a JSON array of objects, for example: [{"t": 1, "w": "Hello world"}].
One connection away
Give your agent a direct line to Weglot.
Connect Weglot once. Keep it beside 6,100+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available