"3D content, models, or technology" matching MCP servers:

Combines Naver DataLab trends, blog/news search, translation, and Unsplash images into a single research pipeline for content creators. Generates comprehensive research reports from a single query.

MCP server for the Humanread novel publishing platform, enabling AI agents to upload, format, preview, review, translate, and publish novels in Markdown or safe HTML.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

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.

Translate PDF, Word (DOCX), Excel (XLSX) and PowerPoint (PPTX) files, images, subtitles and text. Turn audio and video into transcripts or translated subtitles. Preserve layout where supported. Requires an Equalang API key and credits.

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.

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

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.

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 an AI assistant to place user-approved phone calls in the callee's language through your own Bland or Twilio account, with language detection, script generation, cost estimates, and safety guard rails. Includes a preview-then-confirm gate, plus call status, transcripts, and summaries.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

Assists MDN Japanese translation tasks by automating file copying from English content, synchronizing source commits, and performing guideline-based reviews.

Enables comparing local JSON/YAML locale files to find missing or extra keys against a base locale, detect empty, null, or whitespace translations, and list flattened dot-path keys for a single file. Works entirely on local files with no network calls or translation APIs.

Enables clients to search an indexed corpus of the epic's 24,214 verses and fetch single verses, whole sargas, or multi-language translations in Sanskrit, English, Hindi, and Telugu. It also returns a deterministic verse of the day keyed to any given calendar date, served over stdio or stateless HTTP.

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.

Enables batch translation of arXiv, DOI, or paper-page LaTeX sources into Simplified Chinese and compilation of Chinese PDFs via XeLaTeX, using DeepSeek's deepseek-flash model with glossary, structure validation, resume, and QA.

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.

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.

Extracts text nodes from Figma designs and organizes them into structured JSON for internationalization workflows. It enables users to pull content from specific frames or entire files to automatically generate translation keys.