aymericzip/intlayer

Exposes Intlayer CLI commands and dictionary management operations through the Model Context Protocol (MCP) server interface, enabling AI assistants and IDEs to invoke i18n workflows directly. The MCP server wraps Intlayer's core CLI package (@intlayer/cli) and translates command invocations into structured tool calls that can be executed within editor contexts like VS Code or Claude Desktop, providing real-time access to dictionary operations, content validation, and build commands without leaving the development environment.

Exposes Intlayer's documentation system as queryable MCP tools, allowing AI assistants to retrieve framework-specific guides, API references, and integration examples for Next.js, React, Express, and Vite. The capability leverages the documentation structure stored in the docs/ directory with language-specific subdirectories (ar/, bn/, cs/, de/, etc.) and surfaces relevant content through MCP tool schemas that accept locale and topic parameters, enabling context-aware documentation retrieval during AI-assisted development.

Provides MCP tools that validate content declarations against Intlayer's schema, check for missing translations across locales, detect inconsistencies in content structure, and identify potential translation issues. The capability integrates with Intlayer's core validation logic and content transformation system to provide comprehensive content quality checks. This includes detection of incomplete translations, type mismatches, and structural inconsistencies across the multilingual content base.

Wraps Intlayer's CLI package (@intlayer/cli) through MCP tool definitions that understand the semantic meaning of commands like dictionary building, content synchronization, and locale management. The MCP server parses CLI command schemas and exposes them as structured tools with parameter validation, allowing AI assistants to intelligently select and invoke appropriate CLI operations based on user intent rather than requiring explicit command strings. This includes awareness of project configuration, available locales, and dictionary structure to provide intelligent suggestions.

Leverages Intlayer's TypeScript-based content declaration system (@intlayer/core) to provide MCP tools that validate and assist in creating type-safe translation content definitions. The capability understands Intlayer's content schema (supporting text, markdown, dynamic content, and external file references) and can guide AI assistants in generating properly-typed content declarations that integrate with component-level content management. Validation occurs against the project's configuration and existing dictionary structure to ensure consistency.

Exposes Intlayer's dictionary management system through MCP tools that orchestrate content synchronization, locale management, and dictionary updates across the project. The capability integrates with the @intlayer/chokidar file watching system and dictionary synchronization logic to provide AI assistants with tools to detect content changes, synchronize translations across locales, and manage dictionary versions. This includes awareness of the dictionary structure, locale configurations, and content transformation pipelines.

Provides MCP tools that understand Intlayer's framework-specific integrations (Next.js, React, Express, Vite) and can guide AI assistants in generating appropriate integration code. The capability leverages framework-specific packages (next-intlayer, react-intlayer, express-intlayer, vite-intlayer) and their documented patterns to provide context-aware code generation and integration suggestions. This includes understanding framework-specific routing, component patterns, and configuration requirements.

Exposes Intlayer's AI translation capabilities through MCP tools that leverage OpenAI and other providers to suggest translations and generate multilingual content. The capability integrates with Intlayer's backend services and AI provider integrations to offer AI-assisted translation of content declarations, enabling developers to quickly populate translations for new content or generate translations for missing locales. This includes context-aware translation that understands component context and existing translation patterns.

Exposes Intlayer's visual dictionary editor interface through MCP tools that enable AI assistants to guide users toward the editor UI or programmatically manage content through the editor's backend API. The capability integrates with the intlayer-editor package and provides tools for launching the editor, managing editor sessions, and accessing editor-managed content. This includes awareness of the editor's content management features, visual translation interface, and content validation capabilities.

Integrates Intlayer's build system (@intlayer/webpack, @intlayer/cli build commands) through MCP tools that manage build processes, generate translation artifacts, and handle build configuration. The capability understands the build pipeline including webpack integration, dictionary compilation, and artifact generation, providing AI assistants with tools to trigger builds, monitor build status, and manage build outputs. This includes awareness of build configuration, output formats, and optimization strategies.

Provides MCP tools for managing Intlayer project configuration (@intlayer/config) including locale definitions, content type specifications, framework settings, and build options. The capability understands Intlayer's configuration schema and can guide AI assistants in generating or modifying configuration files, validating configuration against project requirements, and suggesting configuration optimizations. This includes awareness of framework-specific configuration needs and locale-specific settings.