Allows interaction with the Blandskron Signals editorial platform through Django's internal API, enabling AI agents to manage publications, content, and editorial operations.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Blandskron Signals publish the approved editorial for tomorrow's edition"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Plataforma editorial tecnológica de Blandskron, operada por agentes mediante un servidor MCP. El MVP mantiene a Django como fuente de verdad y usa Django Templates para el sitio público.
Docker Desktop con Docker Compose
Git
PowerShell 7 (Windows) o Bash (Linux/macOS)
Related MCP server: @socheli/mcp
cp .env.example .env
docker compose up --buildServicios locales: sitio/API Django en http://localhost:8000, MCP en http://localhost:8100/health, Mailpit en http://localhost:8025 y PostgreSQL en localhost:5432. Para cPanel consulta docs/deployment/cpanel.md.
En Windows: Copy-Item .env.example .env y ./scripts/start-local.ps1.
El contenedor local aplica migraciones y datos iniciales automáticamente al iniciar.
make setup, make up, make migrate, make seed, make test y make down.
Los equivalentes PowerShell están en scripts/.
Consulta docs/architecture/overview.md para la arquitectura. Las Fases 0 a 8 del plan maestro ya tienen su base implementada; la ejecución integral queda pendiente de iniciar Docker Desktop.
No se integra la API de OpenAI en este repositorio.
Django concentra la lógica de negocio y el acceso a PostgreSQL.
El MCP solo consume la API interna de Django.
Toda publicación debe estar autorizada y auditada.
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