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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: ledric

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

Available Tools

52 tools
create_blog_post_from_markdownA

Convert a Markdown body to PlateJS JSON and insert as a draft blog post. Status is ALWAYS "draft" — agents cannot publish directly; Studio review is required. Optionally links the post to an existing category by slug. Uses @awc/content-core CLI (convert-plate) for Markdown → PlateJS conversion.

Inputs: slug (required), title (required), markdown_body (required), excerpt, +8 more.

create_contentA

[Pipeline step 3 — Create (master)] Create a new master content item directly (without an Idea). Prefer promote_idea when the content came from an idea (keeps provenance). Status is always "draft". Next step: create_variant (step 4).

Inputs: slug (required), title (required), cta, hook, +8 more.

create_ideaA

[Pipeline step 2 — Discover] Register a new content idea under a Topic. Use this when the agent discovers a new angle from research, competitor scan, user feedback, etc. Link to a Topic (list_topics first) to keep the pipeline organized. Typical next step: promote_idea(id, title, slug) — turns this idea into a draft Content (step 3).

Inputs: raw_text (required), angle, source, topic_id, +1 more.

create_mediaC

Register a media item in the CMS.

Inputs: url (required), filename (required), width, height, +6 more.

create_publicationA

[Pipeline step 6 — Publish tracking] Record a publication event (where/when the content went out). Include variant_id so the Content detail view traces which variant was published on which channel. Final pipeline step — after this use get_metrics + get_activity_logs for feedback loop.

Inputs: channel (required), content_id (required), url, metrics, +2 more.

create_topicA

[Pipeline step 1 — Strategy] Create a new topic. Topics are long-lived (3~5 total, rarely changed). Only add when a genuinely new content theme emerges.

Inputs: name (required), intent, keywords, description.

create_variantA

[Pipeline step 4 — Adapt] Create a platform/format-specific variant of a master Content. Allowed platforms: instagram/linkedin/threads/tiktok/youtube/x (social) + blog/email/self (own channels). Allowed formats: reel/carousel/single_post/article/thread/story/short + blog/video. Use variant.id as the variant_id input for the next step — create_blog_post_from_markdown / create_carousel / send_newsletter / link_video_project_to_variant.

Inputs: format (required), platform (required), content_id (required), hashtags, +3 more.

create_video_projectC

Create or save a video project.

Inputs: name (required), clips, bgmClips, clipMeta, +1 more.

extract_beatsB

Extract beats from a music file for syncing video cuts.

Inputs: source (required), mode, minGap.

get_activity_logsC

List activity logs with optional filters for collection, action, actor_type, and limit.

Inputs: limit, action, actor_type, collection.

get_blog_postB

Get a single blog post (including full PlateJS content) by ID or slug.

Inputs: id_or_slug (required).

get_contentA

[Pipeline step 3 — Create (master)] Get a single master content item by id or slug. Use before update_content or create_variant to read the current body/hook/cta.

Inputs: id_or_slug (required).

get_human_feedbackC

Get human-authored revision feedback for a content item.

Inputs: content_id (required).

get_ideaA

[Pipeline step 2 — Discover] Get a single idea by id. Useful when promote_idea or update_idea needs full context first.

Inputs: id (required).

get_metricsA

[Feedback loop] Get publication metrics for a content item — all publish events across channels. Use to learn which variants performed best before creating the next round of variants.

Inputs: content_id (required).

get_render_statusB

Check the current rendering status.

Inputs: no named parameters.

get_revisionsC

Get revision history for a content item.

Inputs: content_id (required).

get_video_projectC

Get details of a specific video project.

Inputs: id (required).

list_blog_categoriesA

List all blog post categories (name, slug, description). Use to find the correct category slug before creating a post.

Inputs: no named parameters.

list_blog_postsA

List blog posts with optional filters. Returns summary fields (not full PlateJS content).

Inputs: limit, status, category_slug.

list_carouselsA

List carousels. Returns summary (id, title, caption, slide_count, timestamps). Use get_carousel for full slide data.

Inputs: limit, offset.

list_contentsB

[Pipeline step 3 — Create (master)] List master content items. Agents typically reach this after promote_idea (step 2→3). Use filters to find drafts pending derivation.

Inputs: tags, limit, offset, status, +1 more.

list_ideasA

[Pipeline step 2 — Discover] List content ideas with optional filters. Use this first to see what ideas already exist before creating new ones. Filter by topic_id to narrow to a single theme, or promoted=false to see ideas not yet turned into Content. Typical next step: create_idea (register new angle) or promote_idea (turn existing idea into draft Content).

Inputs: limit, promoted, topic_id.

list_mediaC

List media items, ordered by most recent first.

Inputs: limit.

list_postiz_integrationsA

[Pipeline step 6 — Publish] List connected social integrations in Postiz (returns id + platform + display name per channel). Use this first to get the integration_id before calling send_to_postiz.

Inputs: no named parameters.

list_topicsA

[Pipeline step 1 — Strategy] List all topics (long-lived content themes). Start here: the agent picks which topic an idea belongs to. Typical next step: create_idea (step 2) under the chosen topic.

Inputs: no named parameters.

list_variantsA

[Pipeline step 4 — Adapt] List variants derived from a master Content. Check here before create_variant to avoid duplicates.

Inputs: content_id (required).

list_video_projectsC

List video projects from the editor.

Inputs: limit, offset.

list_videosB

List available video source files.

Inputs: no named parameters.

probe_mediaB

Get metadata (duration, resolution, codec, etc.) for a media file.

Inputs: filename (required).

promote_ideaA

[Pipeline step 2→3 — Discover → Create] Promote an idea to a draft Content item. Creates a new Content (always status=draft; agents cannot publish directly) and links the original idea via ideas.promoted_to. Typical next step: update_content (edit hook/body/cta) → create_variant (step 4, derive per-platform).

Inputs: slug (required), title (required), idea_id (required), cta, +7 more.

render_videoC

Start rendering a video project.

Inputs: project (required).

revert_to_revisionA

Revert a content item to a specific revision. Creates a new revision and logs the revert action.

Inputs: content_id (required), revision_id (required).

send_newsletterA

Send a blog post as a newsletter to subscribers via the dashboard send pipeline. Optionally records which variant (format=blog) this send was derived from, so the Content detail page shows the send count on the Variants & Derivatives card. Prerequisites: the dashboard app must be running (DASHBOARD_API_URL env var, default http://localhost:3000).

Inputs: post_id (required), force, preview, variant_id.

send_to_postizA

[Pipeline step 6 — Publish] Send a variant to Postiz for immediate or scheduled publication to the connected social channel. Typical flow: create_variant (step 4) → update_variant to fill body_text & hashtags → list_postiz_integrations → send_to_postiz. On success: variant.status becomes "sent_to_postiz", postiz_post_id is stored in platform_settings, and a publications row is automatically created. Use raw_payload to bypass the default DTO builder when a specific Postiz feature (media, thread, poll, etc.) is needed.

Inputs: variant_id (required), integration_id (required), force, channel, +3 more.

update_blog_postA

Update fields on an existing blog post (title, excerpt, meta, thumbnail, or body). If markdown_body is provided, it will be converted to PlateJS and replace content. Status cannot be changed to "published" via this tool — use Studio for publishing.

Inputs: id (required), title, status, excerpt, +7 more.

update_contentA

[Pipeline step 3 — Create (master)] Edit master content fields (hook/body/cta/core_message/tags). Use after promote_idea to fill in the draft body. Cannot set status=published (requires human). Next step: create_variant once body is solid.

Inputs: id (required), cta, hook, slug, +10 more.

update_ideaA

[Pipeline step 2 — Discover] Refine an idea (angle / target_audience / raw_text). Use this when the agent learns more context before promoting the idea to Content. Pass topic_id=null to explicitly un-link from a Topic.

Inputs: id (required), angle, source, raw_text, +2 more.

update_variantC

Update an existing variant.

Inputs: id (required), status, hashtags, body_text, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.3/5.0

    Scored across 52 tools

    Disambiguation4/5

    Most tools target a distinct resource+action, and pipeline-step labels in descriptions aid selection. However, the 'media' family (list_media, list_gallery_media, list_videos) and gallery cover tools (set_gallery_cover vs attach_gallery_media role=cover) have overlapping boundaries that require careful reading.

    Naming Consistency5/5

    Every tool uses snake_case with a consistent verb_noun pattern (list_*, get_*, create_*, update_*, delete_*, send_*). A few longer names like create_blog_post_from_markdown and link_video_project_to_variant remain readable and follow the same convention.

    Tool Count2/5

    52 tools is well beyond the 25-tool threshold for a heavy server and risks overwhelming an agent's selection space. Although the server spans many subdomains (blog, gallery, video, carousel, social publishing, pipeline), the surface is bloated and could be split or consolidated.

    Completeness4/5

    Core pipeline and CRUD flows are well covered: ideas (list/get/create/update/promote), gallery items (full CRUD), carousels, contents, variants, and publishing. Minor gaps exist, notably missing delete/update operations for blog posts, carousels, contents, variants, media, and video projects, though agents can generally work around these.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

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