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DialectOS

by KyaniteLabsversion 0.1.0i★ 4 (Stars for the whole repo)i–
Registry nameio.github.KyaniteLabs/dialectos

How to install

What it does

Spanish dialect localization MCP server: 25 regional variants, glossary, adversarial QA gates.

  • Connects –
  • Account or key No key needed
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

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Claude cannot connect DialectOS yet

The maker has not listed install details in the MCP Registry yet

ChatGPT cannot connect DialectOS yet

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What you can do instead

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Claude Code cannot connect DialectOS yet

The maker has not listed install details in the MCP Registry yet

Cursor cannot connect DialectOS yet

The maker has not listed install details in the MCP Registry yet

VS Code cannot connect DialectOS yet

The maker has not listed install details in the MCP Registry yet

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

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Stuck? Ask people who use DialectOS💬 Discussion →

At a glance

GitHub starsi
4 (Stars for the whole repo)
This repo holds several MCP listings; its stars count once in rankings
Downloads per weeki
Not on npm/PyPI
Licencei
Apache-2.0
Connection
–
Latest versioni
0.1.0
Categoryi
Other
Published to registryi
Oct 12, 2026
Code last changedi
Nov 12, 2026
Maker
KyaniteLabs
Website
github.com
Registry status
Active

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account KyaniteLabs, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed today

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

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Compared with others in Otheri

  • More stars than 0% of the other 19331 servers in this category
  • Published to the registry more recently than 59% of the other 19331 servers in this category
  • Basic checks equal to or better than 100% of the other 19331 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DialectOS safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed today, and the latest version (0.1.0) reached the registry 31 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

by koala73Widely used★ 90.5KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.5KUpdated today

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

🌎 DialectOS

TL;DR: DialectOS — open-source MCP server and CLI for translating and QA-checking content across 25 regional Spanish variants. Best for AI agents, documentation teams, and app developers localizing into Spanish.

The first Model Context Protocol server built specifically for Spanish dialects.

DialectOS is an open-source Spanish dialect translation server that runs as an MCP (Model Context Protocol) tool and CLI. It translates English and other languages into 25 regional Spanish variants — Mexican, Argentinian, Colombian, Puerto Rican, and more — while preserving markdown structure, enforcing glossary terms, and applying adversarial quality gates that catch semantic drift before it reaches users.

Translate, detect, and adapt content across 25 regional Spanish variants while preserving markdown structure, code comments, and locale file formatting.

📖 Documentation · 🚀 Quick Start · 🛠️ MCP Tools · Agent Skill · 📦 Packages · 🤝 Contributing · 📋 Roadmap


Public Discovery

DialectOS is a Spanish localization and dialect QA system for AI agents, documentation teams, app developers, and support organizations. It provides MCP tools, CLI workflows, glossary enforcement, locale-file validation, and adversarial quality gates for regional Spanish variants.

AI discovery: llms.txt provides a compact project summary for AI assistants and search crawlers.

Best-fit searches: Spanish dialect translation MCP server, Spanish localization QA, Model Context Protocol translation tool, i18n validation CLI, regional Spanish translator, glossary enforcement, AI localization audit, Spanish launch certification.

Agent Skill

DialectOS includes a public agent skill at skills/dialectos/SKILL.md. Use $dialectos in compatible agent hosts when you want an agent to choose the right MCP or CLI workflow for regional Spanish translation, markdown preservation, locale-file validation, glossary enforcement, register checks, and launch-readiness QA.

Spanish Launch Certification

DialectOS is available as a paid Spanish localization launch audit. We certify your Spanish docs, app strings, support macros, or locale files across target dialects and deliver an MQM-aligned launch-readiness report.

✨ What makes DialectOS different?

FeatureGoogle TranslateDeepL APIDialectOS
Spanish dialect awareness❌ Generic "Spanish"⚠️ Limited variants✅ 25 regional variants
MCP native integration❌❌✅ 17 MCP tools
Markdown structure preservation❌❌✅ Tables, code blocks, links intact
i18n locale file support❌❌✅ JSON locale diff & merge
Gender-neutral language❌❌✅ elles / latine / -x
Formality checking (tú vs usted)❌❌✅ Cross-dialect consistency
Adversarial quality gates❌❌✅ Semantic drift + structure validation
LLM-first dialect adaptation❌ Generic MT⚠️ Limited dialect control✅ Any OpenAI/Anthropic/LM Studio local LLM + dialect contracts
Translation validation (any provider)❌❌✅ `dialectos validate` — standalone correctness check
GitHub CI integration❌❌✅ Composite action for PR validation
Auto-glossary from corrections❌❌✅ Learns from user feedback
Public benchmark suite❌❌✅ 205 adversarial samples across 25 dialects

🎯 Why this exists

*"We shipped a product to Mexico using our Spain Spanish translations. Users thought we were being intentionally rude."*

Spanish is not one language — it's 25 regional variants with different vocabulary, formality levels, slang, and grammatical preferences. Existing translation tools treat Spanish as a monolith.

DialectOS solves this by:

  • Understanding regional differences (es-MX vs es-ES vs es-AR vs es-CO...)
  • Preserving technical document structure during translation
  • Providing glossary enforcement for consistent terminology
  • Adding semantic context, dialect grammar profiles, quality contracts, and quality gates that catch drift before it reaches users
  • Running as an MCP server so AI assistants can translate natively

🚀 Quick Start

Install note: DialectOS v0.3.1 is distributed through GitHub Release tarballs, not the npm registry. The CLI and MCP tarballs bundle the unpublished @dialectos/* workspace packages, so a single pnpm add -g / pnpm dlx command works without a registry publish. Clone the repo only for local development or the browser demo.

MCP setup

Add the released MCP server to Claude Desktop, Cursor, or any MCP client:

{

"mcpServers": { "dialectos": { "command": "pnpm", "args": [ "dlx", "https://github.com/KyaniteLabs/DialectOS/releases/download/v0.3.1/dialectos-mcp-0.3.1.tgz" ], "env": { "LLM_API_URL": "https://your-llm-gateway/v1/chat/completions", "LLM_MODEL": "your-dialect-capable-model", "LLM_API_KEY": "your-key-if-required", "LLM_API_FORMAT": "openai", "ALLOWED_LOCALE_DIRS": "/path/to/locales" } } } }

For local development from a source checkout, run pnpm build and point your MCP client at packages/mcp/dist/index.js.

Full-app browser demo

The browser demo requires a source checkout.

The browser demo is no longer a fake/static rule replacer. It calls a local DialectOS backend, and that backend calls the configured provider stack.

LLM_API_URL="http://127.0.0.1:1234/v1/chat/completions" \

LLM_API_FORMAT="openai" \ LLM_MODEL="your-local-model-name" \ LLM_ALLOW_LOCAL=1 \ pnpm demo

Open http://127.0.0.1:8080.

For the beginner container walkthrough, see docs/full-app-demo.md.

Recommended certified models

For v0.3.0, the recommended default cloud model is glm-4.5-air through the Z.ai international Anthropic-compatible endpoint. It passed basic, expanded adversarial, and long-document certification. Use glm-5.1 when you want the higher-confidence/premium option, and qwen3.5-9b via LM Studio for local/offline certification.

export LLM_API_URL="https://api.z.ai/api/anthropic/v1/messages"

export LLM_MODEL="glm-4.5-air" export LLM_API_FORMAT="anthropic" export LLM_API_KEY="..."

LM Studio local model testing

Start LM Studio's local server, then point DialectOS at any downloaded local model. LLM_API_FORMAT=lmstudio uses LM Studio's native REST API and loads the model just-in-time when needed.

LM_STUDIO_URL="http://127.0.0.1:1234" \

LLM_MODEL="publisher/model-key-or-api-identifier" \ LLM_API_FORMAT="lmstudio" \ pnpm dialect:eval -- --live --provider=llm --out=/tmp/dialectos-lmstudio-eval

Incremental provider certification

Use dialect:certify for long local-model or cloud-provider runs. It writes events.jsonl, progress.json, and an incrementally updated results.json after every sample, with per-sample timeout protection.

LM_STUDIO_URL="http://127.0.0.1:1234" \

LLM_MODEL="qwen3.5-9b" \ LLM_API_FORMAT="lmstudio" \ pnpm dialect:certify -- --live --provider=llm --sample-timeout-ms=300000 --out=/tmp/dialectos-certify

Adversarial dialect certification

Use dialect:certify:adversarial to run paraphrase, dialect-collision, taboo-copy, placeholder, register, and repeatability traps. It wraps dialect:certify and writes a failure-matrix.md plus aggregate repeatability results.

pnpm dialect:certify:adversarial -- --live --provider=llm --repeat=2 --sample-timeout-ms=300000 --out=/tmp/dialectos-adversarial
Long-document certification

Use dialect:certify:documents to certify README/API-doc/locale JSON flows, not just sentence fixtures. It checks markdown structure, placeholders, URLs, code fences, API tables, and locale JSON outputs.

pnpm dialect:certify:documents -- --live --provider=llm --dialects=es-MX,es-PA,es-PR --out=/tmp/dialectos-doc-cert
Customer-facing certification report

Use dialect:report to turn certification artifacts into a customer-facing Markdown deliverable for paid launch audits.

pnpm dialect:report -- --input=audits/release-candidate-2026-04-22/model-matrix.json --out=customer-report.md --customer="Acme SaaS" --product="Spanish launch"
CLI install
# Install the v0.3.1 CLI tarball from the GitHub Release

pnpm add -g https://github.com/KyaniteLabs/DialectOS/releases/download/v0.3.1/dialectos-cli-0.3.1.tgz

Or use a local source checkout

pnpm install --frozen-lockfile pnpm build

Translate to Mexican Spanish

dialectos translate "Hello world" --dialect es-MX

Translate a README preserving structure

dialectos translate-readme README.md --dialect es-AR --output README.ar.md

Validate an existing translation

dialectos validate --source "Click the button" --translated "Haz clic en el botón" --dialect es-MX

Validate translation files

dialectos validate --source-file en.json --translated-file es-MX.json --dialect es-MX --format json

View translation corpus statistics

dialectos corpus stats

Run dialect quality benchmark

dialectos benchmark run --dialects es-MX,es-AR,es-ES

Generate glossary suggestions from corrections

dialectos glossary suggest --min-occurrences 3

Compare two glossary versions

dialectos glossary diff glossary-v1.json glossary-v2.json

Detect missing i18n keys

dialectos i18n detect-missing ./locales/en.json ./locales/es.json

List all supported dialects

dialectos dialects list

From source
git clone https://github.com/KyaniteLabs/DialectOS.git

cd DialectOS pnpm install pnpm build pnpm test # 662+ tests passing


🛠️ MCP Tools

Markdown Translation (4 tools)
ToolDescription
translate_markdownTranslate while preserving tables, code blocks, links
extract_translatableExtract only translatable text from markdown
translate_api_docsTranslate API docs with table cell-level translation
create_bilingual_docSide-by-side bilingual documents
i18n Operations (6 tools)
ToolDescription
detect_missing_keysCompare locale files for missing keys
translate_missing_keysAuto-translate missing keys
batch_translate_localesBatch translate to multiple dialects
manage_dialect_variantsCreate dialect-specific variants

| check_formality | Check tú vs

Only the beginning is shown; read the rest in the repo