"Resources and Information on Project Management" matching MCP servers:

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.

Connects AI tools to Verblaze localization projects, enabling management of translations, languages, screens, and project resources through natural language interactions.

Lets AI agents read and write the Calibre Ebook Translator plugin's translation cache chunk by chunk, enabling direct book translation workflows without manual copy-paste.

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.

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.

Provides time-aware greetings in multiple languages and timezones, with personalization support.

An MCP server that provides LLM agents with full access to the Texterify translation management API. It enables users to search, create, update, and delete translation keys and their values directly through natural language within their development environment.

Provides translation tuning by adjusting model output for naturalness, tone, and script per language pair, supporting en-jp and en-es.

Enables law firms and legal professionals to turn Arabic and English contract files into structured, citable context, with clause segmentation, date conversion across Hijri and Gregorian calendars, party extraction, and anchor-based verification, all without API keys or network calls.

Provides AI models with tools to proofread and format Chinese text before delivery, covering typos, punctuation, casing, spacing, and platform-specific character limits. It runs as a zero-dependency MCP service so the model checks and fixes its own Chinese writing automatically.

Translation QA for i18n locale files. Deterministic validators — missing keys, placeholder drift, collapsed plurals, glossary breaches — that need no API key, plus a review tool that hands translation pairs and judging criteria back to the calling agent, so meaning-level review runs on the model your client already has. Translation with your own LLM key is optional. JSON, Flutter .arb, Apple .

An MCP server that integrates EstNLTK to provide Estonian language tools (morphology, spell-check, synonyms, etc.) for AI agents, enabling correct Estonian text processing and generation.

MCP server that gives coding agents right-to-left awareness with tools to lint RTL code, normalize Arabic text, and detect text direction.

A Docker-based MCP server wrapping the Smartling CLI, enabling natural language management of translation projects, files, and glossaries.

Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.