Weblate MCP
The Weblate MCP server is a bridge connecting AI assistants with the Weblate translation management platform, enabling comprehensive management of projects, components, and translations through natural language interaction.
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What is the Weblate MCP Server?
This is an AI assistant connector specifically designed for the Weblate translation management platform. It allows you to interact with your Weblate instance using natural language through an AI assistant (such as Claude Desktop) to achieve intelligent management of translation projects.How to use the Weblate MCP Server?
Simply configure the server connection in your AI assistant (such as Claude Desktop), provide your Weblate API address and key, and you can start using natural language to manage translation projects. There is no need to write code or learn complex APIs.Applicable Scenarios
Suitable for teams and individuals who need to manage multilingual translation content, especially in scenarios where you want to improve translation management efficiency, reduce repetitive manual operations, or require AI-assisted translation decision-making.Main Features
Full API Access
Fully integrates Weblate's REST API and supports all core functions
AI - Driven Workflow
Interact with translation projects using natural language without learning complex interfaces
Project Management
Create, list, and manage translation projects, and view project details
Component Operations
Manage translation components and configurations, and support multiple file formats
Translation Management
Update, search, and manage translation content, and support batch operations
Multilingual Support
Supports all languages in the Weblate instance and automatically detects available languages
Translation Statistics Dashboard
View project completion rate, string statistics, and translation progress
Change Tracking
View recent translation changes, user activities, and historical records
Advantages
Improve efficiency without manually operating the Weblate interface
Support natural language queries to lower the usage threshold
Support batch operations to update multiple translations at once
Real - time statistics and progress monitoring for easy project management
Seamlessly integrate with mainstream AI assistants (such as Claude Desktop)
Open - source and free, and can customize functions according to needs
Limitations
Require a Weblate instance and API access rights
Depend on a network connection to access the Weblate server
Complex queries may require specific syntax formats
Initial configuration requires certain technical knowledge
How to Use
Get Weblate API Credentials
Log in to your Weblate instance, generate an API token in the settings, and note down the API address
Configure Claude Desktop
Edit the Claude Desktop configuration file and add the Weblate MCP server configuration
Restart Claude Desktop
Restart the Claude Desktop application to make the configuration take effect
Start Using
Directly use natural language to interact with Weblate in Claude Desktop
Usage Examples
Project Management
View and manage all translation projects and understand the overall translation progress
Translation Search
Quickly find translation content that needs to be updated or checked
Batch Update
Update multiple translation contents at once to improve work efficiency
Progress Monitoring
Monitor the completion status of translation projects and identify bottlenecks in a timely manner
Frequently Asked Questions
Do I need to have a Weblate instance to use this tool?
Which AI assistants are supported?
How to get a Weblate API token?
Does it support batch operations?
How is data security ensured?
How to get help if I encounter problems?
Related Resources
Official Documentation
Complete installation, configuration, and usage guide
GitHub Repository
Source code, issue tracking, and contribution guide
Weblate Official Website
Official website of the Weblate translation management platform
MCP Protocol Documentation
Official specification of the Model Context Protocol
npm Package Page
Package information for direct use via npx

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