A Model Context Protocol server that enables users to manage translations for their applications through SimpleLocalize's localization platform via natural language prompts in Cursor.
Provides dynamic short-term and long-term memory management with keyword-based relevance scoring, time-decay models, and trigger-based recall. Optimized for Chinese language support with jieba segmentation.
Enables text translation between different languages using the Lingvanex Translator API. Supports integration with Claude Desktop for natural language translation requests.
Translates PowerPoint presentations while preserving formatting using Amazon Bedrock models, available as both a standalone tool and a FastMCP service for AI assistants like Amazon Q Developer.
Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.
A Model Context Protocol server that integrates with AivisSpeech to enable AI assistants to convert text to natural-sounding Japanese speech with customizable voice parameters.
An MCP server providing machine translation capabilities via the Lara Translate API, featuring language detection and context-aware translations between numerous language pairs.
Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.
A Model Context Protocol server that enables access to YouTube video content through transcripts, translations, summaries, and subtitle generation in various languages.
Provides tools for working with iOS Localizable.xcstrings files, enabling automated translation workflows and localization management for iOS/macOS projects using Xcode String Catalogs.
A custom MCP protocol service that enhances AI models by providing multilingual translation capabilities and resource management, allowing for automatic text extraction and translation through external APIs.
Enables processing and translating SRT subtitle files with intelligent conversation detection and context preservation. Supports parsing, validation, chunking of large files, and translation while maintaining precise timing and HTML formatting.
Enables interaction with POEditor's translation management API to create terms, add translations, and manage multilingual content. Supports operations like adding translations, updating existing ones, and listing terms and languages for translation projects.
Official Model Context Protocol server that enables interaction with powerful Speech-to-Text and Audio Intelligence APIs, allowing clients like Claude Desktop to transcribe audio, analyze speech, translate content, and more.
Translates Japanese text into English using the Textra API service, enabling LLMs with limited Japanese understanding to process Japanese instructions.
Connects AI assistants to Lokalise translation management platform with 59 tools across 11 domains, enabling localization teams to manage projects, translations, tasks, and workflows through natural conversation.
Enables comprehensive translation management through POEditor's API with project, language, term, and translation operations. Includes automation scripts for reporting, monitoring, AI-powered suggestions, and multi-format exports.
A Model Context Protocol server that provides DeepL translation capabilities, allowing AI assistants to translate text between supported languages via the DeepL API.
Accurately counts Japanese text characters using grapheme clusters, properly handling surrogate pairs and combining characters through the Intl.Segmenter API.
Enables translation of SRT subtitle files from English to Japanese using local LLM servers like LM Studio. Parses SRT format files and returns translated subtitles in proper SRT format through OpenAI-compatible APIs.
This MCP gives you full control over your translation projects from start to finish. You can log in anytime to see what stage your project is in — whether it’s being translated, reviewed, or completed. You don’t have to guess or follow up via email.
Enables AI assistants to greet users in 7 different languages including English, Spanish, French, German, Japanese, Chinese, and Korean. A lightweight multilingual greeting tool for the Model Context Protocol.
Enables translation and text rephrasing using DeepL's API through a cloud-deployed MCP server. Provides translation between multiple languages, text rephrasing, and language detection capabilities with professional deployment features.
This server implements the Model Context Protocol to provide sentiment analysis of text, returning polarity, subjectivity, and overall assessment (positive, negative, or neutral).
This MCP gives you full control over your translation projects from start to finish. You can log in anytime to see what stage your project is in — whether it’s being translated, reviewed, or completed.
An MCP server that provides standardized translation services across six languages (Arabic, Chinese, English, French, Russian, Spanish) using Claude Sonnet 3.5, with support for different domains and formality levels.
Enables Chinese text segmentation using the jieba library with support for precise, full, and search engine modes. Provides natural language access to professional Chinese word segmentation capabilities through MCP protocol.
An MCP (Multi-Agent Conversation Protocol) Server that enables AI agents to interact with Google's Cloud Translation API for translating text between languages.
A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture.
An AI-driven text translation service supporting 20+ languages, based on the Model Context Protocol (MCP) for integration with Claude Desktop and other MCP-compatible applications.
AI-powered document translation and academic search service. Supports high-quality translation of PDF, DOCX, PPTX and other formats in 11 languages with optimized mathematical formula handling. Includes PubMed-integrated intelligent literature search for researchers. https://suppr.wilddata.cn/
Provides access to University of Tartu's translation services supporting 700+ language pairs, with specialized support for European and Finno-Ugric languages including rare and endangered languages.
Provides comprehensive text analysis capabilities including character counting, word statistics, character type analysis, and text length validation for Korean and English text. Supports AI agents in analyzing and validating text content with detailed statistics and Unicode support.
Enables translation of JSON i18n files to multiple languages using various AI providers (Google Gemini, OpenAI, Ollama/DeepSeek) with intelligent caching and deduplication.
Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.
A ModelContextProtocol server providing high-quality translation services with a three-stage translation workflow (analysis, segmented translation, full-text review) that supports multiple languages and integrates with Claude and OpenAI-compatible models.
Enables AI assistants to look up word definitions, pronunciations, and example sentences from the Cambridge Dictionary through natural language queries.
Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources.
Votars is the world's smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions. The Votars app is available on Web,
Provides multilingual text translation capabilities using Baidu Translate API with support for language detection and advanced features like context filling and zero-width character obfuscation for testing agent robustness.
Enables AI-powered translation of Django gettext .po files while intelligently preserving variables, HTML tags, URLs, and JavaScript code with validation and automated updates.
Natural voice conversations for AI assistants that brings human-like voice interactions to Claude, ChatGPT, and other LLMs through the Model Context Protocol (MCP).
Enables interaction with XTRF translation management system through their Home Portal API. Provides access to XTRF's project management, translation workflow, and client portal functionalities via natural language interface.