Weblate▌
by mmntm
Connect your project with Weblate for seamless translation management, project tracking, and multilingual workflow optim
Integrates with Weblate translation management systems to provide project and component management, translation operations, change tracking, and statistical reporting for multilingual application development workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Localization teams managing multilingual applications
- / Developers integrating translation workflows
- / Project managers tracking translation progress
capabilities
- / Manage translation projects and components
- / Update and search translations
- / Track translation changes and statistics
- / List and configure supported languages
- / Create new translation projects
- / Query project status and progress
what it does
Connects AI assistants to Weblate translation management platforms, enabling natural language interaction with translation projects and content.
about
Weblate is a community-built MCP server published by mmntm that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect your project with Weblate for seamless translation management, project tracking, and multilingual workflow optim It is categorized under productivity.
how to install
You can install Weblate in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Weblate is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Weblate MCP Server
A Model Context Protocol (MCP) server that provides seamless integration with Weblate translation management platform. This server enables AI assistants to interact directly with your Weblate instance for comprehensive translation management.
🌟 Features
- 🔧 Complete Weblate API Access: Full integration with Weblate's REST API
- 🤖 AI-Powered Workflow: Natural language interaction with your translation projects
- 📊 Project Management: Create, list, and manage translation projects
- 🔍 Component Operations: Handle translation components and configurations
- ✏️ Translation Management: Update, search, and manage translations
- 🌐 Language Support: Work with all supported languages in your Weblate instance
- 🚀 Multiple Transports: HTTP/SSE, Streamable HTTP, and STDIO support
- 🛡️ Type Safety: Full TypeScript implementation with comprehensive error handling
- ⚡ LLM-Optimized: Tools designed to guide AI models toward efficient usage patterns
🎯 What is This?
This MCP server acts as a bridge between AI assistants (like Claude Desktop) and your Weblate translation management platform. Instead of manually navigating the Weblate web interface, you can use natural language to:
- "List all projects in my Weblate instance"
- "Show me the French translations for the frontend component"
- "Update the welcome message translation"
- "Create a new translation project"
🚀 Quick Start
Option 1: Use with npx (Recommended)
The easiest way to use this MCP server is with npx - no installation required!
For Claude Desktop or other MCP clients:
{
"mcpServers": {
"weblate": {
"command": "npx",
"args": ["-y", "@mmntm/weblate-mcp"],
"env": {
"WEBLATE_API_URL": "https://your-weblate-instance.com/api",
"WEBLATE_API_TOKEN": "your-weblate-api-token"
}
}
}
}
Manual testing:
# Test the server directly
npx @mmntm/weblate-mcp
Option 2: Development Setup
Prerequisites
- Node.js 18+
- pnpm package manager
- Weblate instance with API access
Installation
# Clone and install
git clone <this-repo>
cd weblate-mcp
pnpm install
# Configure environment
cp .env.example .env
# Edit .env with your Weblate API URL and token
# Build and start
pnpm build
pnpm start
Server runs on http://localhost:3001 by default.
Environment Configuration
WEBLATE_API_URL=https://your-weblate-instance.com
WEBLATE_API_TOKEN=your-api-token-here
PORT=3001
NODE_ENV=production
LOG_LEVEL=info
🔗 MCP Client Configuration
Claude Desktop (npx method - Recommended)
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"weblate": {
"command": "npx",
"args": ["-y", "@mmntm/weblate-mcp"],
"env": {
"WEBLATE_API_URL": "https://your-weblate-instance.com/api",
"WEBLATE_API_TOKEN": "your-weblate-api-token"
}
}
}
}
Claude Desktop (Development/Local)
For development or local builds:
{
"mcpServers": {
"weblate": {
"command": "node",
"args": ["/path/to/weblate-mcp/dist/main.js"],
"env": {
"WEBLATE_API_URL": "https://your-weblate-instance.com/api",
"WEBLATE_API_TOKEN": "your-api-token"
}
}
}
}
HTTP Clients (Cursor, VS Code, Web Apps)
{
"transport": "http",
"url": "http://localhost:3001/mcp"
}
🛠️ Available Tools
📊 Project Management
| Tool | Description |
|---|---|
listProjects | List all available Weblate projects with URLs and metadata |
🔧 Component Management
| Tool | Description |
|---|---|
listComponents | List components in a specific project with source language details |
✏️ Translation Management
| Tool | Description |
|---|---|
searchUnitsWithFilters ⭐ | Efficient search using Weblate's native filtering syntax |
searchStringInProject | Search for translations containing specific text in a project |
getTranslationForKey | Get translation value for a specific key |
writeTranslation | Update or write translation values with approval support |
bulkWriteTranslations ⚡ | Batch update multiple translations efficiently with error handling |
findTranslationsForKey | Find all translations for a specific key across languages |
🚀 Why searchUnitsWithFilters is Recommended
The searchUnitsWithFilters tool uses Weblate's native filtering syntax, making it the most efficient way to find translations:
- ❌ Inefficient: Getting all keys then checking each one individually (can make thousands of API calls)
- ✅ Efficient: Single filtered search using Weblate's query syntax
Example efficient queries:
state:=0- Find untranslated stringsstate:=10- Find strings that need editingsource:"login"- Find strings containing "login"component:common AND state:=0- Complex filters
🌐 Language Management
| Tool | Description |
|---|---|
listLanguages | List languages available in a specific project |
📊 Translation Statistics Dashboard
| Tool | Description |
|---|---|
getProjectStatistics | Comprehensive project statistics with completion rates and string counts |
getComponentStatistics | Detailed statistics for a specific component |
getProjectDashboard | Complete dashboard overview with all component statistics |
getTranslationStatistics | Statistics for specific translation (project/component/language) |
getComponentLanguageProgress | Translation progress for all languages in a component with progress bars |
getLanguageStatistics | Statistics for a language across all projects |
getUserStatistics | User contribution statistics and activity metrics |
📈 Change Tracking & History
| Tool | Description |
|---|---|
listRecentChanges | Recent changes across all projects with user and timestamp filtering |
getProjectChanges | Recent changes for a specific project |
getComponentChanges | Recent changes for a specific component |
getChangesByUser | Recent changes by a specific user |
💡 Usage Examples
Project Operations
// List all projects
await list_projects();
// Get specific project details
await get_project({ slug: "my-project" });
// Create a new project
await create_project({
name: "New Project",
slug: "new-project",
web: "https://example.com"
});
Translation Operations
// List translations for a component
await list_translations({
project_slug: "my-project",
component_slug: "frontend"
});
// Get specific translation
await get_translation({
project_slug: "my-project",
component_slug: "frontend",
language_code: "fr"
});
// Update translations
await update_translation({
project_slug: "my-project",
component_slug: "frontend",
language_code: "fr",
translations: {
"welcome": "Bienvenue",
"goodbye": "Au revoir"
}
});
📚 Documentation
| Document | Description |
|---|---|
| 📖 Documentation Hub | Complete documentation overview and quick start |
| 🚀 Installation & Setup | Installation, configuration, and Claude Desktop setup |
| 📋 API Reference | Complete API documentation with examples |
| 🛠️ Development Guide | Contributing, development setup, and testing |
| 🏗️ Architecture | Codebase structure, patterns, and design decisions |
| 📦 Release Process | Release management and publishing workflow |
| 🔄 Changesets Guide | Version management with changesets |
🏗️ Architecture
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ MCP Client │───▶│ Weblate MCP │───▶│ Weblate API │
│ (IDE/Editor) │ │ Server │ │ (REST API) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
▼
┌──────────────────┐
│ MCP Tools │
│ • Projects │
│ • Components │
│ • Translations │
│ • Languages │
└──────────────────┘
Technology Stack:
- NestJS: Modern Node.js framework with dependency injection
- TypeScript: Full type safety and IntelliSense support
- Weblate REST API: Comprehensive API wrapper with interfaces
- MCP Protocol: Standard Model Context Protocol implementation
- Axios: HTTP client for API communication
🧪 Development
Development Setup
# Start development server with hot reload
pnpm run dev
# Run tests
pnpm test
# Run end-to-end tests
pnpm run test:e2e
# Generate test coverage
pnpm run test:cov
# Build for production
pnpm build
Adding New Tools
- Create tool file in
src/tools/ - Implement MCP tool interface
- Add to service providers
- Write tests
- Update documentation
See Development Guide for detailed instructions.
🎯 Use Cases
Translation Management
- Project oversight: Monitor translation progress across projects
- Content updates: Update translations programmatically
- Quality assurance: Review and approve translations
- Team coordination: Manage translation workflows
Development Integration
- CI/CD pipelines: Automate translation updates in deployment
- Content management: Sync translations with content systems
- Localization testing: Validate translations in different contexts
- **Docume
FAQ
- What is the Weblate MCP server?
- Weblate is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Weblate?
- This profile displays 57 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★57 reviews- ★★★★★Xiao Brown· Dec 24, 2024
We evaluated Weblate against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Diego Martin· Dec 16, 2024
I recommend Weblate for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Kaira Huang· Dec 12, 2024
Weblate is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Valentina Abbas· Dec 8, 2024
We wired Weblate into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Dec 4, 2024
We evaluated Weblate against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ava Sharma· Nov 27, 2024
Weblate reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Oshnikdeep· Nov 23, 2024
Weblate has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Nikhil Sethi· Nov 15, 2024
Weblate has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kaira Singh· Nov 3, 2024
According to our notes, Weblate benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Min Thomas· Oct 22, 2024
Weblate has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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