"A tool for enhancing prompts and suggesting skills based on the working task" matching MCP servers:

MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.

An MCP server that enables users to add translation keys to Lokalise projects using natural language through Cursor or standalone interfaces. It allows for the specification of project names, translation keys, default values, and target platforms.

MCP server for the Globalize localization platform: create translation projects, add languages, manage glossaries and style guides, connect repositories, and track translation jobs from any MCP client. Available as a hosted Streamable HTTP endpoint and as an open-source TypeScript package in the mcp-server directory.

Enables bidirectional lookup of Mi'kmaq and English words with definitions and examples, and provides tools for learning and dictionary statistics, integrating seamlessly with AI-powered IDEs.

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.

An MCP server for working with the Võro language: local dictionary and corpus lookup, GiellaLT-backed analysis/spellcheck/grammar tools, and Neurotõlge translation.

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.

Provides guidelines for writing proper apologies based on the situation, relationship, and severity. Returns structured prompts that help LLMs generate sincere and appropriate apology letters in Korean.

A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.

MCP server for translating PDFs using pdf2zh-next, preserving document context by extracting all text segments for LLM translation at once.

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

English-first Korean equity intelligence MCP — translates Korean DART filings, foreign-holder 5%-rule flows (BlackRock / Vanguard / Norges / GIC plus 16 more), activist filings (KCGI / Align / ValueAct / Elliott), and KRX industry news to English on demand. 7 MCP tools, OSS self-host under AGPL-3.0.

Integrates the levelang.app translation API with AI assistants to provide translations constrained to specific learner proficiency levels. It supports multiple languages and allows users to control translation styles and moods while dynamically discovering available language configurations.

Delegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.

Enables AI agents to transliterate between Latin-script Javanese and Aksara Jawa (Hanacaraka) bidirectionally.

Provides access to the Database of Icelandic Morphology (BÍN) to look up word inflections, variants, and lemmas. It enables LLMs to answer grammatical questions and retrieve specific Icelandic word forms using standard grammatical tags.

Finds new UI translation keys in your codebase, dedup-checks them against a Blocks/UILM tenant, and generates the JSON the Blocks portal expects for import.

Enables AI agents to conjugate verbs in 14 European languages via a hosted Rust API, requiring only a free API key.

Enables agents to speak Thai and English audio through local speakers, manage a playback queue, save speech to files, translate text into Thai, and OCR PDFs and images.