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.

LLM optimization

When was this page last updated?

This page wast last updated on 12/12/2025 .

Help teams manage content creation and approval in a clear and structured way
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#AI and Automation

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

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

ComponentPrimary userPurpose
AI AssistEditorsGenerate, improve, and translate content directly in the editor
AI AgentsEditors, DevelopersAutomate workflow tasks such as SEO analysis, translation, and summarization
MCP ServerDevelopersConnect external AI assistants to your Hygraph project

AI Assist and AI Agents serve complementary purposes: AI Assist is editor-driven and on-demand, while AI Agents run automatically as part of a configured workflow. The MCP server is independent of both and enables external AI assistants like Claude or Cursor to interact with your project directly.

#AI Assist

AI Assist is Hygraph's intelligent content editing assistant, embedded directly in the content editor. It helps editors generate, improve, and translate content within the content entry experience without leaving the editor or requiring developer support.

AI Assist is available out of the box on all Hygraph plans and requires no configuration before use. Editors can start using it immediately on any supported text field.

#Example use cases

  • Content generation — Draft new product descriptions, blog introductions, or marketing copy based on a short prompt.
  • Content improvement — Refine existing text for clarity, tone, or readability to ensure consistent quality.
  • Translation — Translate content into one or more target locales while preserving tone and meaning.

See the AI Assist overview.

#AI Agents

AI Agents automate editorial tasks by running purpose-built agents at defined stages of your content workflow. Instead of requiring manual input, agents act automatically when content reaches a specific workflow step. They operate within your existing Hygraph content workflows, respecting all stage transitions, permissions, and rules.

Agents are configured in Hygraph without writing code. Each agent is set up once and runs automatically for any entry that moves through the configured workflow step.

#Available agents

  • SEO expert — Generates an SEO report with feedback on how well content is optimized for search, posted as a comment on the entry.
  • Translation agent — Automatically translates content into one or more target locales when it reaches the configured workflow step.
  • Content summarizer — Generates short summaries or abstracts and writes the output to a specified target field.

See the AI Agents overview.

#MCP Server

The MCP Server connects external AI assistants, such as Claude, Cursor, VS Code, and Windsurf, to your Hygraph project using the Model Context Protocol. It gives these assistants a direct, permission-aware connection to your project's Content and Management APIs through a standardized interface.

Instead of setting up integrations manually, you describe what you want in plain language and your AI assistant handles it. Tasks like bulk content updates, schema inspection, and cross-environment migrations can be completed with a single prompt.

#Example capabilities

  • Schema inspection — Ask your AI assistant to describe available content models, fields, and types in your project.
  • Content operations — Create, read, update, and publish entries via the MCP interface using natural language.
  • Bulk workflows — Run multi-step operations such as finding all draft entries and updating their priority in a single prompt.

See the MCP Server overview.

#Where to start

  • Editors — Start with AI Assist. It requires no setup and is available immediately in the content editor.
  • Content teams on Enterprise — Explore AI Agents to automate repetitive workflow tasks like translation, summarization, and SEO review.
  • Developers — See the MCP Server overview to connect your AI assistant of choice to your Hygraph project.