4,500+ servers built on MCP Fusion
Vinkius
Weblate logo
Vinkius
Claude Desktop logo

How to Use the Weblate MCP in Claude

Manage your entire localization pipeline with Weblate using your AI client, Claude Desktop.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Weblate MCP on Cursor AI Code Editor MCP Client Weblate MCP on Claude Desktop App MCP Integration Weblate MCP on OpenAI Agents SDK MCP Compatible Weblate MCP on Visual Studio Code MCP Extension Client Weblate MCP on GitHub Copilot AI Agent MCP Integration Weblate MCP on Google Gemini AI MCP Integration Weblate MCP on Lovable AI Development MCP Client Weblate MCP on Mistral AI Agents MCP Compatible Weblate MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Claude Desktop

Connect Weblate MCP to Claude Desktop

Create your Vinkius account to connect Weblate to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

List and Manage Projects via MCP Server

The `list_projects` tool shows every project in your Weblate instance. You can immediately check the status of multiple projects without leaving your chat window. Need to drill down? Use `get_project` to grab specific details, like which components are missing translations or who last updated the content.

Handle User Accounts and Roles

Want to onboard a new contributor? The `create_user` tool lets you provision accounts directly. You don't have to jump into the web UI for basic setup. Beyond creation, use `add_group_admins` or `create_role` to manage permissions and group membership right from your local machine.

Check Localization Status

Don't guess if a project is ready. The `get_project_repository` tool gives you the overall Version Control System status for any given project. It’s quick and direct: pull in the current state, check commits, or even perform cleanups using `perform_repository_operation`.

Setup guide

Set up Weblate MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Weblate MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Weblate MCP in Claude Desktop

You simply call the `get_project_repository` tool in your chat. It pulls the live VCS data from Weblate and sends it back to you instantly, so you know if a project is committed or needs attention.
Yes. The `list_user_notifications` tool lets you see current subscriptions, and `manage_user_notifications` lets your agent update them directly via the local connection.
You can use the `list_languages` tool for a global view of all supported locales. For project-specific stats, call `list_project_languages`, which gives you paginated data focused only on that one project's language adoption.
Absolutely. Because it’s a local tool, your agent can handle background operations like calling `get_project_file_url` to download zip archives for multiple projects or even performing cleanup via `perform_repository_operation`.
This server manages user accounts, group roles, project metadata, language definitions, and VCS repository status data within your Weblate instance.

Start using the Weblate MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 32 tools

We've already built the connector for Weblate. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 32 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.