#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.
| Component | Primary user | Purpose |
|---|---|---|
| AI Assist | Editors | Content creation and localization |
| Hygraph Agents | Developers, Editors | Intelligent content workflows automation |
| MCP Server | Developers | Model 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.
#Hygraph Agents
Hygraph 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 Optimization – 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 Translationstage. - Summarization – Generate short summaries or abstracts when content moves to the
Reviewstage.
You can get more information in our dedicated Hygraph agents docs.
#MCP Server
The MCP (Model Context Protocol) Server is the bridge between Hygraph 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.