"A search for paper products or information" matching MCP servers:

Provides arXiv paper search, download, Chinese translation, and WeChat article generation, supporting custom LLM APIs.

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.

MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.

Provides text translation capabilities powered by NiuTrans API with support for 455+ languages. Includes translation tools and language catalog resources for seamless integration with MCP clients.

Provides Japanese UX conventions as an MCP server to help AI generate correct Japanese UI elements like proper name order, furigana, phone formats, and polite language. It includes tools for form generation, validation, keigo suggestions, and cultural adaptation for developers building Japanese-facing products.

An MCP server for managing Rails-style localization files (YAML/JSON), enabling coding agents to read, search, write, and audit translations without hand-editing files.

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.

A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.

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

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.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

Translates Sinhala or Singlish instructions into precise English technical specifications using Google Gemini AI, enabling Sinhala-speaking developers to code in their native language.

Enables interaction with translation helps APIs through multiple interfaces (MCP, OpenAI, stdio, etc.) for fetching scripture, translation notes, and more via natural language.

Enables document translation across multiple languages and AI-powered semantic search of PubMed literature. Supports various document formats including PDF, DOCX, PPTX with status tracking and customizable search parameters.

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.

Provides access to synonyms and antonyms for words through the API Ninjas Thesaurus API, enabling vocabulary enhancement and word exploration.

Provides tools for working with iOS Localizable.xcstrings files, enabling automated translation workflows and localization management for iOS/macOS projects using Xcode String Catalogs.

An MCP server that integrates Kagi Translate as tools for translation, URL translation, and proofreading, requiring a Kagi API key.

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.

Provides dictionary lookup functionality through the API Ninjas Dictionary API, allowing users to search for word definitions and meanings through natural language queries.