"The Models Resource" matching MCP servers:

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.

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.

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.

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.

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.

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 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 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 .

MCP server for page-level i18n translation using Alibaba Cloud Qwen models, supporting incremental translation, glossary, and multiple target languages.

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

Enables MCP clients to replace hardcoded text in source files with i18n resource keys, with support for previewing changes, profiles, resource sets, and machine translation.

Delegates replaceable grunt work (boilerplate, formatting, translation, long-document summarizing) from a premium agent to cheap models behind a local LiteLLM proxy, auto-routing each task by type. Delegated calls run in a separate process, so the subscription session and the API credentials never share an environment.

Enables OCR of local images through a public endpoint and writes the extracted text to a specified file, optimized for Tibetan, Sanskrit, and Devanagari input with optional transliteration.

Enables document and video translation, plus subtitle rewriting, through the Belindoc translation API with both stdio and remote HTTP access.

A Model Context Protocol server that enables AI assistants to translate and rephrase text between numerous languages using the DeepL API.

MCP server for TERMDAT, the terminology database of the Swiss Federal Administration, giving AI agents officially validated designations of Swiss authorities, departments, and legal acts across DE/FR/IT/EN with source references and validation status.

Provides text translation capabilities using the Niutrans API, supporting 455+ languages with code/alias mapping through a language catalog resource.

Enables AI agents to inspect, audit and safely edit locale JSON files across flat, nested, and namespaced layouts without loading whole files into the model context, with compact token-efficient reads and write paths that cannot drop keys or overwrite silently. Ships ten tools plus slash-command prompts for project info, key search, reference lookup, translation upserts, and missing-translation audits.