content-studio
MCP server for content-studio, enabling AI agents to manage content ideas, channels, personas, and drafts with approval-based edits.
README
content-studio (nom provisoire)
Studio de contenu open source (AGPL-3.0). Une idée entre, elle ressort déclinée par canal, persona et direction artistique — écrite par TON agent IA (Claude Code ou autre) connecté en MCP. L'outil n'appelle jamais de modèle : ton abonnement IA travaille, l'outil orchestre.
Self-host
git clone <repo> && cd content-studio
BETTER_AUTH_SECRET=$(openssl rand -hex 32) docker compose up -d --build
# http://localhost:3003 → créer un compte (workspace + 3 canaux créés automatiquement)
Dev
docker compose up -d postgres
cp .env.example .env.local # éditer BETTER_AUTH_SECRET
npm i && npm run db:migrate && npm run dev
Brancher ton agent (MCP)
- UI → Tokens MCP → Créer (le token n'est montré qu'une fois)
claude mcp add --transport http content-studio http://localhost:3003/api/mcp --header "Authorization: Bearer cs_…"- Dans ta session : « lis mes idées et décline la première en post communauté »
Outils exposés : list_ideas, get_idea, list_channels, list_personas, get_art_direction, create_content_draft, get_content, update_content, register_asset (v1.1).
Pendant que tu édites dans l'UI, une écriture de l'agent devient une « proposition » avec diff à accepter — jamais d'écrasement silencieux.
Tests
npm run test # vitest single-run, db content_studio_test
Limites connues (v1)
- Le Dockerfile self-host copie
.next+node_modulesen entier (pas deoutput: "standalone"dansnext.config.ts) : image plus grosse que nécessaire, assumé pour rester simple en v1.
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