AI-ready knowledge graph
Your content, structured as a knowledge graph AI can reason over
Content lives as connected, traceable entities. AI agents reach it only through the permissions you define, via Hygraph's hosted MCP Server.
AI is the new UX for CX
Over the next few years, digital customer interactions will shift from websites, mobile apps, and search to agentic AI interfaces. Industry analyst firms predict this will account for 50%-80% of digital engagement in the near future.
The universal knowledge layer for agent retrieval
Whichever interface your customers end up using: your own assistant, a partner's agent, or a general-purpose model, it needs a structured, governed source of truth to reason over.
Hygraph is that layer, so your content stays the constant as the tools built on top of it change.
A platform for every role to do their best work
Technical teams
Entities, relationships, and taxonomy are structured for agents to reason over directly
AI agents read, write, and publish only within the permissions you define
Every AI-generated or retrieved answer traces back to its original source document
Content teams
AI-assisted content requires brand and legal approval before it ships
Approved quotes and proof points reproduce exactly, never paraphrased by AI
Campaigns and variants generated by AI trace back to vetted, approved content
How your content becomes something agents can reason with
Structure an agent can reason over
ETL for agent knowledge: ingest Google docs and Notion pages (if that's where your content teams do their work) and structure them into AI-ready content.
Structured relational content graph
Entities, relationships, and taxonomy, machine-readable by design.
Structured output
Feeds retrieval and vector pipelines directly through webhook or API, without a bespoke transform layer to clean up unstructured content first.
Access an agent can be trusted with
Agents reach that graph through one governed connection, scoped to exactly what they're allowed to touch.
Hosted MCP Server
Connects Claude, Cursor, VS Code, Antigravity, and an organization's own custom-built agents.
Permission-scoped actions
AI agents read, write, and publish only within human-defined permissions.
Content provenance
Traces every entity back to its original source document and page.
No training on your content
Your content isn't used to train Hygraph's models, or anyone else's.
Brand and legal review
Gates what's publishable, for humans and AI alike.
API and usage observability
Extensible into custom dashboards for tracking content health.
AI Assist
Handles content enrichment within defined guardrails.
Ranked #1 in customer satisfaction on G2
Explore more Hygraph capabilities
Let's talk about your project
Book an appointment with our sales team and learn how Hygraph can accelerate and scale your content operations.
What you can expect:
- A discussion to understand your use case and intended outcomes
- A vision of how Hygraph could support your team
- Next steps to deep dive on your technical, operational, and strategic questions
FAQS
You’ve got questions. We’ve got the answers.
Hygraph's MCP Server connects AI assistants and agents directly to your content graph, so they can query real, structured content instead of guessing from unstructured text. Access happens within the same roles, permissions, and governance boundaries your team already has, so agents work inside human-defined rules, not around them.