Bring Content Modeling
to Google ADK

Integrate the powerful headless CMS capabilities of Storyblok directly into your conversational AI. Empower your content teams and developers to organically draft narratives, parse complex asset repositories, and orchestrate page component definitions without relying entirely on the visual editor. Bind your AI local context directly to your Storyblok environment securely, enabling programmatic schema generation and continuous iteration utilizing a streamlined conversational interface designed to accelerate creative velocity.

What you can do

• Space & Content Discovery — Instantly list active enterprise environments utilizing list_spaces and fetch broad overarching overviews referencing stories via list_stories.
• Content Construction — Swiftly produce or update textual assets creating schemas directly from prompts invoking create_content_story and update_content_story systematically.
• Asset & Structure Exploration — Analyze media repositories via list_assets and precisely inspect available schema blueprints calling list_components to standardize development.
• Risk Management — Exercise safe administrative control over local projects, evaluating internal authorized operators implementing modifications using list_space_users.

How it works

1. Establish the Storyblok MCP module as an integrated bridge on your chosen conversational interface.
2. In the MCP configurations, provide an authorized STORYBLOK_TOKEN to solidify local command execution effectively and encrypt connection pathways.
3. Prompt the agent: "Retrieve the exact block components deployed across our main Space, then formulate a new blog story formatted mathematically into JSON integrating standard textual boundaries."

Who is this for?

• Content Architects & SEO Managers — Bulk-orchestrate and analyze complex content hierarchies swiftly deploying programmatic structural alterations iterating precisely on metadata parameters.
• Frontend Developers — Seamlessly query nested objects or retrieve component structural IDs programmatically isolating dependencies immediately via conversational context loops.
• Agile Editors — Systematically push localized iterations refining textual tone across multiple active platform drafts efficiently bypassing slow structural validations.