How do I install DialectOS?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does DialectOS need an API key?

No required environment variable is listed on this record.

What transport does DialectOS use?

DialectOS runs locally over stdio.

When was DialectOS last checked?

Last checked 2026-11-09. Spanish dialect localization MCP server: 25 regional variants, glossary, adversarial QA gates.

DialectOS MCP server

🌎 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.

Beta pilot: $500
Scope: up to 10,000 source words and 5 target dialects
Deliverables: certification report, issue list, severity table, recommended fixes, launch decision
Sample report: audits/sample-customer-report.md
Offer details: docs/spanish-launch-certification.md

✨ What makes DialectOS different?

Feature	Google Translate	DeepL API	DialectOS
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 v0.3.0 is distributed through GitHub Release tarballs, not the npm registry. Use the released MCP/CLI tarballs for agent and command-line installs; 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/v0.3.0/dialectos-mcp-0.3.0.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 v0.3.0 CLI tarball from the GitHub Release
pnpm add -g https://github.com/KyaniteLabs/DialectOS/releases/download/v0.3.0/dialectos-cli-0.3.0.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)

Tool	Description
`translate_markdown`	Translate while preserving tables, code blocks, links
`extract_translatable`	Extract only translatable text from markdown
`translate_api_docs`	Translate API docs with table cell-level translation
`create_bilingual_doc`	Side-by-side bilingual documents

i18n Operations (6 tools)

Tool	Description
`detect_missing_keys`	Compare locale files for missing keys
`translate_missing_keys`	Auto-translate missing keys
`batch_translate_locales`	Batch translate to multiple dialects
`manage_dialect_variants`	Create dialect-specific variants
`check_formality`	Check tú vs usted consistency
`apply_gender_neutral`	Apply gender-neutral language

Translation (7 tools)

Tool	Description
`translate_text`	Translate with semantic context, grammar profiles, and quality contracts
`detect_dialect`	Detect dialect from sample text
`translate_code_comment`	Translate comments, preserve code
`translate_readme`	Full README translation pipeline
`search_glossary`	Search 300+ source-attributed glossary terms
`list_dialects`	List all 25 supported dialects
`research_regional_term`	Research source-backed regional lexeme proposals without mutating runtime data

📦 Packages

Package	Version	Description	Tests
`@dialectos/mcp`	`0.3.0`	17 MCP tools (stdio server)	93
`@dialectos/cli`	`0.3.0`	CLI: translate, validate, corpus, benchmark, glossary	569
`@dialectos/providers`	`0.3.0`	LLM, DeepL, LibreTranslate, MyMemory with circuit breaker + corpus	152
`@dialectos/security`	`0.3.0`	Rate limiting, SSRF protection, sanitization	68
`@dialectos/types`	`0.3.0`	Shared TypeScript types + glossary, profile, certification, and quality data	54
`@dialectos/locale-utils`	`0.3.0`	Locale file diff/merge utilities	55
`@dialectos/markdown-parser`	`0.3.0`	Structure-preserving markdown parser	74

662+ tests across 7 packages plus docs contracts, demo-server contracts, and static-hardening checks

🛡️ Security & Quality

DialectOS has undergone adversarial security hardening:

18 CVEs resolved via dependency overrides
SSRF protection on all provider endpoints
Circuit breaker with half-open probe locks
Atomic checkpoint writes with schema versioning
HTML injection detection in translated output
Semantic drift scoring — catches "looks valid but meaning changed"
Provider capability negotiation — validates language support before API calls
Chaos harness for deterministic resilience testing

See SECURITY.md for details.

🎨 Supported Dialects

Code	Region	Example Difference
`es-ES`	Spain	"Coche" (car), "Ordenador" (computer)
`es-MX`	Mexico	"Carro", "Computadora"
`es-AR`	Argentina	"Auto", "Computadora", "Che"
`es-CO`	Colombia	"Carro", "Computador", "Chévere"
`es-CL`	Chile	"Auto", "Computadora", "Caleta"
`es-PE`	Peru	"Carro", "Computadora", "Pe"
`es-VE`	Venezuela	"Carro", "Computadora", "Chamo"
`es-UY`	Uruguay	"Auto", "Computadora", "Bo"
`es-GQ`	Equatorial Guinea	"Carro", "Camisola", "Bacalao"
`es-US`	United States	"Carro", "Computadora", "Pocha"
`es-PH`	Philippines (Chavacano)	"Carro", "Jendeh", "Kame"
`es-BZ`	Belize	"Carro", "Breki", "Kriol"
`es-AD`	Andorra	"Carro", "Madriu", "Caldea"

...and 12 more. Full list via dialectos dialects list.

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                        MCP Client                            │
│              (Claude Desktop / Cursor / etc.)                │
└──────────────────────┬──────────────────────────────────────┘
                       │ stdio
┌──────────────────────▼──────────────────────────────────────┐
│                   @dialectos/mcp                               │
│              17 tools • JSON-RPC over stdio                  │
└──────────────────────┬──────────────────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────────────────┐
│                   @dialectos/cli                               │
│   translate • validate • corpus • benchmark • glossary     │
│   ├─ Policy profiles (strict/balanced/permissive)           │
│   ├─ Quality gates (token/glossary/structure/semantic)      │
│   ├─ Translation corpus + auto-glossary                     │
│   └─ Checkpoint resumption + telemetry                      │
└──────────────────────┬──────────────────────────────────────┘
                       │
┌──────────────────────▼──────────────────────────────────────┐
│                @dialectos/providers                            │
│   ┌─────────┐  ┌─────────────────┐  ┌─────────────────┐    │
│   │   LLM   │  │     DeepL       │  │ Libre/MyMemory │   │
│   │ Primary │  │ Paid fallback   │  │ Generic fallback│    │
│   └─────────┘  └─────────────────┘  └─────────────────┘    │
│        │                │                    │              │
│        └────────────────┴────────────────────┘              │
│              Circuit Breaker + Rate Limiter                  │
└─────────────────────────────────────────────────────────────┘

📊 Quality Gates

Every translation passes through 4 quality dimensions:

Quality Score = tokenIntegrity×25% + glossaryFidelity×30% + structureIntegrity×20% + semanticSimilarity×25%

Gate	What it checks	Example failure
Token Integrity	Protected terms preserved	"Kyanite Labs" → "Cianita Labs"
Glossary Fidelity	Enforced terminology used	"API" → "Interfaz" (when glossary says "API")
Structure Integrity	Markdown structure intact	Missing code fence, broken table
Semantic Similarity	Meaning not drifted	"API is down" → "Hello world"

❓ FAQ

What is DialectOS? DialectOS is an open-source translation engine for Spanish regional dialects. It runs as an MCP server (for AI assistants like Claude) and a CLI tool for developers.

How is DialectOS different from Google Translate? Google Translate treats Spanish as one language. DialectOS understands 25 regional variants, preserves markdown structure, enforces glossaries, and applies quality gates that catch errors before they reach users.

What are Spanish dialects? Spanish varies significantly by country. Mexican Spanish uses "carro" for car; Spain uses "coche"; Argentina uses "auto". DialectOS handles these differences automatically.

Does DialectOS work with ChatGPT / Claude? Yes. DialectOS is an MCP server, so Claude Desktop, Cursor, Windsurf, and other MCP clients can use its 17 translation tools natively.

Is DialectOS free? Yes. DialectOS v0.3.0 is released under Apache-2.0. See LICENSE for details.

What is MCP? Model Context Protocol is an open standard that lets AI assistants use external tools. DialectOS exposes 17 translation tools through MCP so AI agents can translate natively.

Can I use DialectOS for commercial projects? Yes. Apache-2.0 allows commercial use, modification, and redistribution subject to the license terms. See LICENSE for details.

How accurate is the translation? DialectOS applies 4 quality gates (token integrity, glossary fidelity, structure integrity, semantic similarity) and adversarial tests. Automated tests verify correctness across dialects.

🏷️ Badges

Add this badge to your project if you use DialectOS for translation:

[](https://github.com/KyaniteLabs/DialectOS)

⚡ GitHub Action

Validate Spanish translations in CI on every pull request:

- uses: KyaniteLabs/[email protected]
  with:
    dialect: es-MX
    source-dir: locales/en
    target-patterns: 'locales/es-MX/*.json'
    fail-on-blocking: true

Multi-dialect matrix:

strategy:
  matrix:
    dialect: [es-ES, es-MX, es-AR, es-CO]
steps:
  - uses: KyaniteLabs/[email protected]
    with:
      dialect: ${{ matrix.dialect }}
      fail-on-blocking: true

See docs/github-action.md for full configuration options.

🤝 Contributing

We welcome contributors! See CONTRIBUTING.md for:

Setting up your development environment
Running the test suite
Submitting pull requests
Code style guidelines

Good first issues are tagged with good first issue — perfect for newcomers.

📋 Roadmap

See ROADMAP.md for upcoming features including:

Portuguese dialect support (pt-BR, pt-PT)
Real-time collaborative translation
Custom provider plugins
OpenAI-compatible, Anthropic-compatible, and LM Studio local gateways via LLM_API_URL/LM_STUDIO_URL + LLM_MODEL + LLM_API_FORMAT
VS Code extension

📄 License

Apache-2.0 — see LICENSE for details.

Made with ❤️ by KyaniteLabs and contributors.

Star ⭐ this repo if it helps your project!

Part of KyaniteLabs

More from KyaniteLabs. Related projects:

kinocut — guardrailed video-editing MCP server for AI agents (formerly mcp-video)
Epoch — time-estimation MCP server (PERT) for AI agents
checkyourself — local-first production-readiness checks for AI-built code

→ More at kyanitelabs.tech

What is DialectOS?

DialectOS is an open-source Spanish dialect translation server that runs as an MCP tool and CLI. It translates into 25 regional Spanish variants while preserving markdown structure, enforcing glossary terms, and applying adversarial quality gates that catch semantic drift.


Product	DialectOS
Category	Spanish dialect translation and localization-QA MCP server and CLI
Best for	AI agents, documentation teams, app developers, and support teams localizing into regional Spanish
Not	a general-purpose machine-translation API for many languages
Source	GitHub · Forgejo (private, maintainers only)
Keywords	Spanish dialect translation MCP server, Spanish localization QA, regional Spanish translator, glossary enforcement, i18n validation CLI

Who it's for

Primary: AI agents, documentation teams, app developers, and support teams localizing into regional Spanish
Use when you need to translate or validate content for specific Spanish dialects while preserving markdown and locale-file structure and enforcing glossaries
Skip if you need a general-purpose machine-translation API for many languages

FAQ

What is DialectOS?

Who should use DialectOS?

AI agents, documentation teams, app developers, and support teams localizing into regional Spanish.

How is DialectOS different?

Unlike generic machine translation, DialectOS treats Spanish as 25 regional variants and gates output on token, glossary, structure, and semantic checks.

Is DialectOS production software?

Treat the README status and release tags as source of truth for maturity. Validate against your own requirements before production use.

Status

Maintained as of 2026 on the default branch
Prefer release tags when pinning dependencies
Report issues on GitHub

Agent surface

Coding agents: read this README first, then repo docs/AGENTS.md if present
Prefer machine-readable briefs (llms.txt) when the repo ships one
MCP or skill entrypoints are documented in-repo when applicable

Contributing

Issues and PRs welcome on GitHub. Keep public docs free of secrets and machine-local paths.

License

See LICENSE in this repository (or package metadata if license is package-only).

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install DialectOS?

Does DialectOS need an API key?

What transport does DialectOS use?

When was DialectOS last checked?

Documentation

🌎 DialectOS

Public Discovery

Agent Skill

Spanish Launch Certification

✨ What makes DialectOS different?

🎯 Why this exists

🚀 Quick Start

MCP setup

Full-app browser demo

Recommended certified models

LM Studio local model testing

Incremental provider certification

Adversarial dialect certification

Long-document certification

Customer-facing certification report

CLI install

From source

🛠️ MCP Tools

Markdown Translation (4 tools)

i18n Operations (6 tools)

Translation (7 tools)

📦 Packages

🛡️ Security & Quality

🎨 Supported Dialects

🏗️ Architecture

📊 Quality Gates

❓ FAQ

🏷️ Badges

⚡ GitHub Action

🤝 Contributing

📋 Roadmap

📄 License

Part of KyaniteLabs

What is DialectOS?

Who it's for

FAQ

What is DialectOS?

Who should use DialectOS?

How is DialectOS different?

Is DialectOS production software?

Status

Agent surface

Contributing

License