Frequently Asked Questions

AI & Automation Features

What AI capabilities does Hygraph offer?

Hygraph provides three core AI components: AI Assist (for content creation and localization), AI Agents (for automating content workflows), and MCP Server (for model management and integrations). These features empower both content teams and developers to create, enrich, and deliver content with built-in intelligence. Learn more in the Hygraph AI documentation.

What is AI Assist and how does it help editors?

AI Assist is Hygraph’s intelligent content editing assistant embedded in the content editor. It enables editors to generate, improve, and localize content directly within the entry experience, requiring no developer setup. Example use cases include drafting product descriptions, refining text for clarity, and instant translation into multiple locales. Read more in the AI Assist docs.

What are some example use cases for AI Assist?

AI Assist can be used for content generation (e.g., drafting product descriptions or blog introductions), content improvement (refining text for clarity and tone), and localization (translating content into multiple languages while preserving meaning). See more use cases.

What are Hygraph AI Agents and how do they automate workflows?

Hygraph AI Agents are purpose-built agents that autonomously drive predefined content workflows, performing editorial tasks such as SEO analysis, translation, and summarization. Agents act automatically when content reaches specific workflow stages, respecting all permissions and rules. They can be configured directly in Hygraph without code or external API setup. Learn more about AI Agents.

Can you give examples of workflow steps automated by AI Agents?

Examples include: providing SEO reports when content is ready for review, automatically translating content when it reaches the 'Ready for Translation' stage, and generating summaries when content moves to the 'Review' stage. See more workflow examples.

What is the MCP Server and how does it integrate AI models with Hygraph?

The MCP (Model Context Protocol) Server acts as a bridge between AI agents and Hygraph’s Content and Management APIs, allowing large language models (LLMs) to interact with your project in a structured, secure, and standardized way. It enables developers to build intelligent, compliant AI integrations without reinventing API logic for every project. Read more about MCP Server.

What are some example capabilities of the MCP Server?

The MCP Server enables schema discovery (allowing agents to explore available content types and fields) and secure content operations (create, read, update, and publish entries via the MCP interface). See more capabilities.

Security & Compliance

What security and compliance certifications does Hygraph have?

Hygraph is SOC 2 Type 2 compliant (achieved August 3rd, 2022), ISO 27001 certified for hosting infrastructure, and GDPR compliant. These certifications ensure robust security and adherence to international standards. See security features.

How does Hygraph ensure data security and privacy?

Hygraph provides granular permissions, SSO integrations, audit logs, encryption at rest and in transit, and regular backups. Enterprise-grade compliance features include dedicated hosting, custom SLAs, and support for GDPR and CCPA regulations. View the security and compliance report.

Use Cases & Benefits

Who can benefit from Hygraph’s AI features?

Hygraph’s AI features are designed for editors, developers, product managers, and marketing teams in industries such as ecommerce, automotive, technology, food and beverage, and manufacturing. Global enterprises needing localization, asset management, and content federation also benefit from these capabilities. Learn more about Hygraph AI.

What problems does Hygraph AI solve for content teams?

Hygraph AI addresses operational inefficiencies (reducing developer dependency, streamlining workflows), financial challenges (lowering operational costs, accelerating speed-to-market), and technical issues (simplifying schema evolution, improving integration, and optimizing performance). Features like AI Assist and AI Agents automate repetitive tasks and improve content quality and localization. See more in the documentation.

Getting Started & Support

How easy is it to get started with Hygraph AI features?

Hygraph AI features like AI Assist are available out of the box and require no developer setup. Teams can start working immediately using the free API Playground and free forever developer account. For larger projects, a structured onboarding process and training resources (webinars, live streams, how-to videos) are available. See onboarding details.

What support and training resources are available for Hygraph AI?

Hygraph offers 24/7 support via chat, email, and phone, real-time troubleshooting through Intercom chat, a community Slack channel, extensive documentation, and training resources such as webinars and how-to videos. Enterprise customers receive a dedicated Customer Success Manager for personalized guidance. Access Hygraph Documentation.

Performance & Metrics

How does Hygraph AI impact content creation speed and quality?

AI Assist and AI Agents help teams create and localize content faster, maintain consistency, and automate repetitive tasks. For example, Komax achieved a 3X faster time-to-market, and Samsung improved customer engagement by 15% using Hygraph’s platform. See customer success stories.

What KPIs and metrics are associated with Hygraph AI’s impact?

Key metrics include time saved on content updates, number of updates made without developer intervention, system uptime, speed of deployment, consistency in content across regions, reduction in operational costs, ROI on CMS investment, and scalability metrics. Read more about CMS KPIs.

Help teams manage content creation and approval in a clear and structured way
Hygraph
Docs

#AI and Automation

Hygraph’s AI capabilities bring intelligent automation and content generation into your composable content workflows. These AI features empower both content teams and developers, enabling faster creation, smarter enrichment, and scalable automation.

This section introduces the three core components of AI in Hygraph.

ComponentPrimary userPurpose
AI AssistEditorsContent creation and localization
AI AgentsDevelopers, EditorsIntelligent content workflows automation
MCP ServerDevelopersModel management and integrations

Together, these components make it possible to create, enrich, and deliver content with built-in intelligence.

#AI Assist

AI Assist is Hygraph’s intelligent content editing assistant embedded in the content editor. It helps editors seamlessly generate, improve, and localize content within the content entry.

With AI Assist, teams can work faster and maintain consistency across content types and languages. It is available out of the box in the Hygraph editor and requires no developer setup or configuration.

#Example use cases

  • Content generation – Draft new product descriptions, blog introductions, or marketing copy with a single click.
  • Content improvement – Refine existing text for clarity, tone, or readability to ensure consistent quality.
  • Localization – Instantly translate content into multiple locales while preserving tone and meaning.

You can get more information in our dedicated AI Assist docs.

#AI Agents

AI Agents help drive predefined content workflows autonomously with purpose-built agents that perform intelligent editorial tasks. Instead of requiring manual input in a workflow, Agents act automatically when content reaches a specific stage. These agents operate within your existing Hygraph content workflows, respecting all stage transitions, permissions, and rules.

You can configure these agents directly in Hygraph, without any need for code or external API setup. This automation saves content teams valuable time and makes them more efficient.

#Example workflow steps

  • SEO Expert – Provide an SEO Report with feedback on how well content is optimized for search.
  • Translation – Automatically translate content into target locales when it reaches the Ready for Translation stage.
  • Summarization – Generate short summaries or abstracts when content moves to the Review stage.

You can get more information in our dedicated AI agents docs.

#MCP Server

The MCP (Model Context Protocol) Server is the bridge between AI agents and Hygraph’s Content and Management APIs, allowing large language models (LLMs) to interact with your project in a structured, secure, and standardized way. The MCP Server enables developers to build intelligent, compliant AI integrations that feel native to Hygraph, without reinventing API logic for every project.

#Example capabilities

  • Schema discovery – Let agents automatically explore available content types and fields.
  • Content operations – Create, read, update, and publish entries securely via the MCP interface.

You can get more information in our dedicated MCP Server docs.