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DialectOS

作者:KyaniteLabs版本 0.1.0i★ 4 (整个仓库的星标)i–
注册名称io.github.KyaniteLabs/dialectos

安装方法

What it does

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

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

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/3 项检查 · 在你的电脑上运行

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

Claude 暂时无法连接 DialectOS

开发者尚未在 MCP 注册表中填写安装方式

ChatGPT 暂时无法连接 DialectOS

开发者尚未在 MCP 注册表中填写安装方式

你可以改用这些方式

B · 其他 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

Claude Code 暂时无法连接 DialectOS

开发者尚未在 MCP 注册表中填写安装方式

Cursor 暂时无法连接 DialectOS

开发者尚未在 MCP 注册表中填写安装方式

VS Code 暂时无法连接 DialectOS

开发者尚未在 MCP 注册表中填写安装方式

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 DialectOS 的人💬 讨论 →

一览

GitHub 星标i
4 (整个仓库的星标)
该仓库包含多个 MCP 条目,星标在排名中只计算一次
每周下载量i
不在 npm/PyPI 上
许可证i
Apache-2.0
连接方式
–
最新版本i
0.1.0
分类i
其他
发布到注册中心i
2026年10月12日
代码最后更新i
2026年11月12日
作者
KyaniteLabs
注册状态
活跃

它能做什么

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。

基础检查i

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14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 KyaniteLabs 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于前天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

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此处内容由用户撰写,不代表 PopNx 团队。

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与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19750 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19750 个服务器的 57% 更新
  • 基础检查结果等于或优于此分类中其他 19750 个服务器的 100%

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。

常见问题

DialectOS 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于前天,最新版本(0.1.0)于33天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

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

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

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

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

作者的 README

打开 README

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。

🌎 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.

A 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 (5 experimental, see below)
MCP native integration❌⚠️ Official DeepL MCP server, generic Spanish✅ 18 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

Coverage is not equal across the 25 variants. es-AD, es-BZ, es-PH, es-GQ and es-US are experimental: their profiles lean on contact-language markers (Catalan, Kriol, Tagalog, English) and have thinner vocabulary and test data than the major variants.

Dialect detection is a keyword heuristic. Its last recorded top-1 accuracy was 54.8% on the bundled detection corpus, and that corpus was written from the detector's own keyword lists, so the figure is not an independent measure. Treat detect_dialect output as a hint, not a verdict.


🎯 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 v0.3.2 is distributed as GitHub Release tarballs. GET https://registry.npmjs.org/@kyanitelabs/dialectos and GET https://registry.npmjs.org/dialectos both return 404 — there is no npm package. The CLI and MCP tarballs bundle the unpublished @dialectos/* workspace packages, so a single pnpm add -g / pnpm dlx of the tarball URL works. 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/v0.3.2/dialectos-mcp-0.3.2.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" } } } }

ALLOWED_LOCALE_DIRS is a comma-separated list of the only directories the server may read or write; when set, it replaces the working directory. Without it the server falls back to its working directory, but never to / or your home directory, so set it when your client starts servers from either.

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 v0.3.2 CLI tarball from the GitHub Release

pnpm add -g https://github.com/KyaniteLabs/DialectOS/releases/download/v0.3.2/dialectos-cli-0.3.2.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-

只显示了开头部分;其余内容请在仓库中阅读