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Agentic CMS

Open-source MCP server that turns any CMS backend into an AI-agent-ready content management system.

License: MIT

What is this?

Agentic CMS is a Model Context Protocol (MCP) server that gives AI agents full access to your content management workflows — create, read, update, publish, and track content through a standardized protocol.

Instead of building AI features into your CMS, Agentic CMS wraps around it. Your CMS stays as-is. The agents get a clean interface to work with.

┌─────────────────┐     MCP Protocol     ┌──────────────┐
│  AI Agents       │ ◄──────────────────► │  Agentic CMS │
│                  │     stdio / SSE      │  MCP Server   │
│  · Claude        │                      │               │
│  · OpenClaw      │                      │  Adapters:    │
│  · Cursor        │                      │  · Supabase   │
│  · Any MCP client│                      │  · Payload    │
└─────────────────┘                      │  · Strapi     │
                                          │  · (yours)    │
                                          └───────┬───────┘
                                                  │
                                          ┌───────▼───────┐
                                          │  Your CMS DB  │
                                          └───────────────┘

Related MCP server: static-mcpify

Why?

  • Your CMS, your data — Self-hosted, no vendor lock-in

  • Adapter pattern — Supabase today, Payload/Strapi/anything tomorrow

  • MCP standard — Works with Claude Desktop, OpenClaw, Cursor, and any MCP-compatible client

  • Safety first — Publishing requires human approval by default. Agents create drafts, humans publish.

  • Open source — MIT licensed. Use it, fork it, extend it.

Features

Tools (MCP)

Tool

Description

list_contents

List content with filters (status, category, tags)

get_content

Get a single content item by slug or ID

create_content

Create new content (always starts as draft)

update_content

Update content fields (title, body, tags, etc.)

list_ideas

List content ideas

promote_idea

Promote an idea to a draft content item

create_publication

Record a publication event (channel, URL, metrics)

get_metrics

Get performance metrics for content

Safety

  • create_content always sets status to draft — agents cannot publish directly

  • update_content blocks status changes to published — human approval required

  • All operations are logged and auditable

Quick Start

1. Install

npm install @brxce/agentic-cms

2. Configure

Create .env:

SUPABASE_URL=https://your-project.supabase.co
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key

3. Run

npx agentic-cms

4. Connect to Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agentic-cms": {
      "command": "npx",
      "args": ["@brxce/agentic-cms"],
      "env": {
        "SUPABASE_URL": "https://your-project.supabase.co",
        "SUPABASE_SERVICE_ROLE_KEY": "your-key"
      }
    }
  }
}

5. Connect to OpenClaw

# ~/.openclaw/config.yaml
mcp:
  servers:
    agentic-cms:
      command: npx
      args: ["@brxce/agentic-cms"]
      env:
        SUPABASE_URL: https://your-project.supabase.co
        SUPABASE_SERVICE_ROLE_KEY: your-key

Adapters

Agentic CMS uses an adapter pattern to support different CMS backends.

Available

  • Supabase — For Supabase/PostgreSQL-based CMS setups

Planned

  • Payload CMS — TypeScript-native headless CMS

  • Strapi — Popular open-source headless CMS

  • Directus — SQL-based headless CMS

  • Custom — Implement the CMSAdapter interface for any backend

Writing Your Own Adapter

import { CMSAdapter } from '@brxce/agentic-cms';

export class MyAdapter implements CMSAdapter {
  async listContents(filter?: ContentFilter): Promise<Content[]> {
    // Your implementation
  }
  async getContent(idOrSlug: string): Promise<Content> {
    // Your implementation
  }
  // ... other methods
}

Architecture

src/
├── server.ts              # MCP server entry point
├── tools/                 # MCP tool definitions
│   ├── contents.ts        # Content CRUD tools
│   ├── ideas.ts           # Idea management tools
│   └── publications.ts    # Publication tracking tools
├── adapters/
│   ├── interface.ts       # CMSAdapter interface
│   ├── supabase.ts        # Supabase adapter
│   └── (future adapters)
└── types.ts               # Shared types

Supabase Schema

If you're starting fresh, here's the minimum schema:

-- Contents
create table contents (
  id uuid primary key default gen_random_uuid(),
  title text not null,
  slug text unique not null,
  status text default 'draft' check (status in ('draft', 'review', 'published')),
  category text,
  body_md text,
  tags text[],
  hook text,
  created_at timestamptz default now(),
  updated_at timestamptz default now()
);

-- Ideas
create table ideas (
  id uuid primary key default gen_random_uuid(),
  raw_text text not null,
  source text default 'manual',
  promoted_to uuid references contents(id),
  created_at timestamptz default now()
);

-- Publications
create table publications (
  id uuid primary key default gen_random_uuid(),
  content_id uuid references contents(id),
  channel text not null,
  url text,
  published_at timestamptz default now(),
  metrics jsonb default '{}'
);

Multi-tenant deployment

agentic-cms 는 env 기반 multi-tenant 구조입니다. 같은 코드베이스로 여러 고객을 각자의 Supabase · Storage · 브랜딩으로 서비스할 수 있습니다.

시스템 prerequisites (모든 tenant 공통)

# macOS
brew install ffmpeg yt-dlp node pnpm python@3.12

# Ubuntu/Debian
sudo apt install ffmpeg python3.12 python3.12-venv
pip install yt-dlp
npm install -g pnpm
# Node.js 22+: https://nodejs.org/

새 고객 onboarding 체크리스트

  1. Supabase 프로젝트 생성 (고객 전용)

    • Free/Pro plan, project_ref 기록

    • supabase/migrations/*.sql 전부 적용 (Studio SQL Editor, 파일명 오름차순 순서대로)

    • 자동 적용 항목:

      • 14+ 테이블 생성 (contents/ideas/variants/blog_posts/carousels/video_projects 등)

      • 5 storage bucket 생성 (content-media, studio-renders, references, finished, blog-images) — migration 20260419000000 이 자동 처리

      • RLS policies 공개 읽기 + service_role 관리

  2. .env 파일 3개 작성 (각 프로젝트 루트의 .env.example 기준)

    • ./.env — MCP 서버용

    • ./dashboard/.env.local — Next.js dashboard

    • ./editor/.env — Python 영상 편집 서버

  3. Multi-tenant 핵심 env (반드시 고객별로 교체)

    • SUPABASE_URL / SUPABASE_SERVICE_ROLE_KEY (혹은 SUPABASE_SERVICE_KEY)

    • NEXT_PUBLIC_SITE_URL — 고객 웹사이트 URL

    • NEXT_PUBLIC_BRAND_NAME — 뉴스레터 헤더 · meta title suffix 에 노출

    • NEXT_PUBLIC_BRAND_HANDLE / NEXT_PUBLIC_BRAND_EMOJI / NEXT_PUBLIC_BRAND_AVATAR_URL — 캐러셀 워터마크/아바타

    • NEXT_PUBLIC_CONTACT_EMAIL / NEXT_PUBLIC_CONTACT_DOMAIN — 캐러셀 CTA 슬라이드

    • ANALYTICS_OWN_DOMAINS — self-referrer whitelist (쉼표 구분)

    • ANALYTICS_VERCEL_KEYWORDS — vercel preview 도메인 자사 식별

    • NEWSLETTER_FROM — 뉴스레터 발신인 "Display Name <addr@domain>"

    • META_TITLE_SUFFIX — blog post meta_title 꼬리

    • TABLE_PROJECTS=video_projects (editor/.env, 필수)

    • STORAGE_MODE=cloud (editor/.env, 권장)

  4. 외부 API Key (선택 기능)

    • RESEND_API_KEY — 뉴스레터 발송

    • GOOGLE_SERVICE_ACCOUNT_KEY — GA4/GSC analytics

    • POSTIZ_API_URL + POSTIZ_API_KEY — 소셜 채널 발행

  5. 로컬 개발 기동

    # MCP 서버용 의존성
    npm install && npm run build
    
    # dashboard 의존성
    cd dashboard && npm install && cd ..
    
    # editor Python 가상환경
    cd editor && python3 -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt && cd ..
    
    # editor Remotion 의존성
    cd editor/remotion && pnpm install && cd ../..
    
    # Next.js dashboard + Python editor 동시 기동
    cd dashboard && npm run dev:all
  6. Claude Code 에서 MCP 서버 연결

    • .mcp.json 을 repo 루트에 생성 (AGENTS.md 예시 참고)

    • Claude Code 재시작 → 43+ MCP 도구 자동 노출

고객 분리 원칙

  • DB 분리 — 고객마다 별도 Supabase 프로젝트 (데이터 완전 격리)

  • 코드 공유 — 동일 git branch, env 주입만 다름

  • 브랜딩 격리 — 위 env 교체만으로 로고·이메일·도메인 전부 고객 것으로 전환

  • 배포 분리 — 고객마다 별도 Vercel/Cloud Run 배포 권장 (env 분리 확실)

코드에 하드코딩된 브랜딩 없음 원칙

신규 기능 추가 시 "AWC", "agenticworkflows.club", "특정 이메일" 등 구체 값을 직접 박지 말고 env 로 주입. 테넌트별 차이가 생길 여지는 전부 env 통로를 둔다.


Philosophy

"Nobody cares about your tech. They care that their problem got solved."

Agentic CMS isn't about adding AI to your CMS. It's about making your content workflow AI-native — so agents handle the repetitive work and humans focus on judgment and creativity.

Built by IntelliEffect as part of the Agentic Workflow Club.

Contributing

Contributions welcome! Please read CONTRIBUTING.md before submitting PRs.

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

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