Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Spanish dialect translation MCP server: 25 regional variants, glossary enforcement, quality gates.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
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它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过域名 kyanitelabs.tech 验证(注册中心会核实域名所有权)
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它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.3.1)于10天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Reelsaw
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
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.
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.
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.
audits/sample-customer-report.mddocs/spanish-launch-certification.md| 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 |
*"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:
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 singlepnpm add -g/pnpm dlxcommand works without a registry publish. Clone the repo only for local development or the browser demo.
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.
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.
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="..."
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
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
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
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
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"
# 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
pnpm install --frozen-lockfile pnpm build
dialectos translate "Hello world" --dialect es-MX
dialectos translate-readme README.md --dialect es-AR --output README.ar.md
dialectos validate --source "Click the button" --translated "Haz clic en el botón" --dialect es-MX
dialectos validate --source-file en.json --translated-file es-MX.json --dialect es-MX --format json
dialectos corpus stats
dialectos benchmark run --dialects es-MX,es-AR,es-ES
dialectos glossary suggest --min-occurrences 3
dialectos glossary diff glossary-v1.json glossary-v2.json
dialectos i18n detect-missing ./locales/en.json ./locales/es.json
dialectos dialects list
git clone https://github.com/KyaniteLabs/DialectOS.git
cd DialectOS pnpm install pnpm build pnpm test # 662+ tests passing
| 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 |
| 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
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