AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

This is an Azure Cosmos DB MCP server project that allows LLMs (such as Claude, VSCODE) to directly interact with the Azure Cosmos DB database and query data through natural language.

Suppr Super Literature provides AI-driven document translation and Chinese PubMed literature search services, supporting the translation of multiple document formats and intelligent literature retrieval.

The Lara Translate MCP Server is a translation service middleware based on the Model Context Protocol (MCP), providing a bridge connection between AI applications and the Lara Translate API.

Multilingual AI translation service based on the MCP protocol, supporting long text processing and automatic language detection

MCP-Serve is a multilingual translation service based on the MCP protocol, providing text translation and resource management functions, and supporting interaction with AI models to expand capabilities.

VideoLingo is a tool that integrates video translation, localization, and dubbing, aiming to generate Netflix-quality subtitles. It eliminates生硬的机器翻译 and multi-line subtitles while providing high-quality dubbing to achieve cross-language knowledge sharing.

This is a server that allows an LLM (such as Claude) to directly interact with the BigQuery database. It acts as a secure translation layer between the AI assistant and the database, supporting data query in natural language without manually writing SQL.

A JSON internationalization translation tool for multiple AI providers, supporting intelligent caching and batch processing

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.