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AiryLark MCP Server

by wizd

AiryLark MCP Server provides a professional-grade, high-precision translation service interface. It uses the ModelContextProtocol (MCP) to allow smart assistants to interact with external services for complex translation capabilities.

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What is AiryLark MCP Server?

AiryLark MCP Server is a ModelContextProtocol (MCP) server module that offers professional-level, high-precision translation services. It's designed to integrate with AI assistants like Claude, enabling them to access advanced translation features.

How to use AiryLark MCP Server?

The server can be deployed using Node.js, Docker, or Docker Compose. After installation and configuration (setting API keys and server ports), you can use the provided MCP tools (translate_text, evaluate_translation) via API calls. The README provides detailed instructions for development and production environments, including integration examples with AI assistants like Cursor and Claude.

Key features of AiryLark MCP Server

  • Three-stage translation process (analysis, segmentation, review)

  • Domain-specific terminology recognition

  • Translation quality assessment system

  • Multi-language support (Chinese, English, Japanese, Korean, French, German, etc.)

  • Style and format preservation

Use cases of AiryLark MCP Server

  • Technical document translation

  • Academic paper translation

  • Legal document translation

  • Medical material translation

  • Financial report translation

FAQ from AiryLark MCP Server

What is MCP?

MCP stands for ModelContextProtocol, a standard protocol allowing smart assistants to interact with external services in a structured way.

What languages are supported?

The server supports multiple languages, including Chinese, English, Japanese, Korean, French, and German.

How do I configure the translation API key?

You can configure the API key by setting the TRANSLATION_API_KEY environment variable or creating a .env file.

How do I deploy the server using Docker?

You can deploy the server using the official Docker image: docker pull wizdy/airylark-mcp-server and then run the container with appropriate environment variables.

How do I integrate this server with Claude or Cursor?

The README provides detailed configuration instructions for both Claude Chat and Cursor, involving adding the server URL in their respective settings.