ai
Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Git.
- 6 estrellas
- 0 forks
- 3 issues abiertos
- Lenguaje: TypeScript
- Licencia: MIT
- actualizado
Instalación
remoteclaude mcp add --transport http ai 'https://studio.contentrain.io/api/mcp/v1/{project_id}/mcp'{
"mcpServers": {
"ai": {
"type": "http",
"url": "https://studio.contentrain.io/api/mcp/v1/{project_id}/mcp"
}
}
}Servidor remoto, sin binario local. Si pide credenciales, sigue el README del proveedor. Sustituye los valores entre llaves de la URL por los de tu cuenta.
https://studio.contentrain.io/api/mcp/v1/{project_id}/mcpServidor remoto, sin binario local. Si pide credenciales, sigue el README del proveedor. Sustituye los valores entre llaves de la URL por los de tu cuenta.
{
"mcpServers": {
"ai": {
"url": "https://studio.contentrain.io/api/mcp/v1/{project_id}/mcp"
}
}
}Servidor remoto, sin binario local. Si pide credenciales, sigue el README del proveedor. Sustituye los valores entre llaves de la URL por los de tu cuenta.
- Ejecuta el comando en tu terminal (Claude Code) o añade la URL como conector (Claude Desktop) o en mcp.json (Cursor).
- Autoriza el acceso cuando el cliente lo pida.
- Reinicia la sesión: las herramientas del servidor aparecen solas.
Resumen de MCP Servers
Contentrain AI
Website · Docs · Discord · Twitter · LinkedIn
Extract, govern, and ship structured content from your codebase.
Contentrain helps teams turn hardcoded UI text, docs, and structured content into a governed, reviewable content layer. Agents can extract, create, translate, and update content, while Contentrain enforces schema, Git review, and portable file output.
Agent extracts or updates content → Contentrain standardizes → Human reviews → Any platform consumesTry it in 30 seconds
npx contentrain init # create .contentrain/ workspace
npx contentrain serve # open the local review UIThat's it. You now have a governed content workspace with models, validation, review branches, and a local UI — no account, no cloud, no proprietary content format.
Start here:
What Contentrain is for
Rescuing hardcoded strings from existing apps and turning them into structured, translatable content
Starting new projects with a real content layer instead of scattering copy across components
Serving the same content across web, docs, mobile, and backend systems from plain JSON and Markdown in Git
What it is not
Not an AI writing app
Not a database-first or dashboard-first CMS replacement for every team
Not a proprietary content runtime that locks your app to one platform
What it looks like
Before: Hardcoded strings scattered across your codebase — no structure, no translations, no review.
export default function Hero() {
return (
<section>
<h1>Welcome to our platform</h1>
<p>Start your free trial today</p>
<button>Get Started</button>
</section>
)
}After: Content lives in .contentrain/, typed and structured. Source files use i18n keys.
export default function Hero() {
const t = useTranslations()
return (
<section>
<h1>{t('hero.title')}</h1>
<p>{t('hero.subtitle')}</p>
<button>{t('hero.cta')}</button>
</section>
)
}// .contentrain/content/marketing/hero/en.json
{
"cta": "Get Started",
"subtitle": "Start your free trial today",
"title": "Welcome to our platform"
}The normalize flow extracts strings, creates models, and patches your source files — all through reviewable git branches.
This is the strongest entry point into the product:
take the content chaos already in your codebase and turn it into a governed, reviewable content layer.
How it works
┌─────────────┐ ┌──────────────────┐ ┌──────────────┐
│ AI Agent │────▶│ MCP (27 tools) │────▶│ .contentrain/│
│ (decides) │ │ (enforces) │ │ (stores) │
└─────────────┘ └──────────────────┘ └──────┬───────┘
│
┌──────────────────┐ │
│ Review UI / Git │◀─────────────┘
│ (human approves)│
└──────────────────┘Agent decides what content should exist and where it should come from
Contentrain enforces schemas, validation, canonical serialization, and git workflow
Human reviews through branches, PRs, or the local Serve UI
Output is plain JSON + Markdown that any language or framework can consume
4 content kinds
| Kind | What it stores | Storage | Example |
|---|---|---|---|
| Collection | Multiple typed entries | JSON object-map | Blog posts, products, team |
| Singleton | Single entry per locale | JSON object | Hero section, site config |
| Document | Markdown + frontmatter | .md files | Docs, articles, changelog |
| Dictionary | Flat key-value strings | JSON flat map | i18n translations, UI labels |
27 field types (string, email, url, image, relation, array, object, markdown, ...) with built-in validation.
Use your content anywhere
Content is plain JSON and Markdown. Any language reads it directly.
For TypeScript projects, generate a typed SDK:
npx contentrain generateimport { query, singleton, dictionary, document } from '#contentrain'
const hero = singleton('hero').locale('en').get()
const posts = query('blog-post').locale('en').include('author').all()
const labels = dictionary('ui-labels').locale('tr').get('auth.login')
const article = document('docs').locale('en').bySlug('getting-started')Works with Nuxt, Next.js, Astro, SvelteKit, Vue, React, Node, Go, Python, Swift, Flutter, and 20+ stacks.
Why teams use it
Git-native — every write goes through worktree isolation + review branches
Normalize flow — scan codebase for hardcoded strings → extract → create i18n-ready content → patch source files
MCP engine — 27 tools (22 core + 5 media) over stdio or HTTP transport, works with Claude Code, Cursor, Windsurf, or any MCP client
Provider-agnostic engine — the same tool surface runs over a local worktree, GitHub, or GitLab (self-hosted included) with zero tool-code changes. HTTP transport available for remote drivers such as Studio.
Canonical serialization — sorted keys, deterministic output, clean git diffs, conflict-free parallel edits
Agent rules & skills — behavioral policies and step-by-step workflows ship as npm packages
Serve UI — local web dashboard for browsing models, content, validation, and normalize status
Framework-agnostic — MCP doesn't know your framework. Agent + skills handle stack-specific logic
Agent Skills
This repo ships 16 Agent Skills — reusable workflow procedures that any AI coding agent can load on demand.
Install all skills to your agent:
npx skills add Contentrain/ai/packages/skillsOr install a specific skill:
npx skills add Contentrain/ai/packages/skills --skill contentrain-normalizeSkills work with Claude Code, Cursor, Windsurf, GitHub Copilot, OpenAI Codex, Gemini CLI, and 40+ other agents.
See AGENTS.md for the full skill catalog and agent guidance.
Packages
| Package | npm | Role |
|---|---|---|
@contentrain/mcp | 27 MCP tools + stdio / HTTP transport + Local / GitHub / GitLab providers | |
contentrain | CLI + Serve UI + MCP stdio entrypoint | |
@contentrain/query | Generated TypeScript query SDK | |
@contentrain/types | Shared type definitions + constants | |
@contentrain/rules | Agent quality rules for IDE integration | |
@contentrain/skills | Workflow procedures + framework guides | |
@contentrain/wp-import | WordPress WXR / REST → RawIR → .contentrain store | |
@contentrain/emitter-astro | ProjectIR → a complete Astro project | |
@contentrain/verify | SEO, indexing, link and asset gates for a built site | |
@contentrain/astro-kit | Copy-in Astro components + catalog + builder mapping tables | |
@contentrain/decide | Typed decisions — rule first, then Jev, then Claude Haiku — cached, budgeted, audited |
Starter Templates
Production-ready templates with Contentrain content models, generated SDK client, and framework-specific patterns:
| Template | Framework | Use Case |
|---|---|---|
| astro-blog | Astro | Blog / editorial |
| astro-landing | Astro | Landing page |
Lo que la gente pregunta sobre ai
¿Qué es Contentrain/ai?
Contentrain/ai es mcp servers para el ecosistema de Claude AI. Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Git. Tiene 6 estrellas en GitHub y su última actualización registrada es del 2026-10-22.
¿Cómo se instala ai?
Puedes instalar ai clonando el repositorio (https://github.com/Contentrain/ai) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Contentrain/ai?
Nuestro agente de seguridad ha analizado Contentrain/ai y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Contentrain/ai?
Contentrain/ai es mantenido por Contentrain. La última actividad registrada en GitHub es del 2026-10-22, con 3 issues abiertos.
¿Hay alternativas a ai?
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.