KyaniteLabs/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
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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** |
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🎯 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...)