Hygraph

Hygraph is a headless content platform that structures content as a knowledge graph and exposes it to AI agents through a hosted MCP Server with permission scoping, provenance tracking and brand or legal review gates.

Hygraph positions its content platform as a knowledge layer for agentic AI. Instead of storing pages as loose blocks of text, it models content as connected, traceable entities with explicit relationships and taxonomy, which is the shape a retrieval system or an LLM agent can reason over without a cleanup pass. The hosted MCP Server is the single governed door agents walk through: Claude, Cursor, VS Code, Antigravity and custom-built agents query and act on real content rather than guessing from unstructured files. In practice, teams connect the places where content already lives. Google Docs and Notion pages are ingested and structured into the graph, then served to retrieval and vector pipelines through webhooks or the API. Governance sits on top: agents read, write and publish only inside permissions a human defined, every entity traces back to its source document and page, and brand or legal review gates what can ship for humans and AI alike. Hygraph states that customer content is not used to train its own models or anyone else's. AI Assist handles enrichment such as improvement and translation within those guardrails, running on AWS Bedrock. Technical teams get structured entities and permission-scoped agent actions. Content teams get approval workflows and the promise that approved quotes and proof points reproduce exactly rather than being paraphrased. It suits organisations preparing for conversational and companion-style interfaces that pull from owned content, and it competes with headless CMS platforms that bolt AI on as a writing feature rather than exposing governed access to the content model itself. Limits are worth noting. Hygraph does not provide built-in chunking, tokenization or vectorization, so retrieval pipelines are assembled with your own model stack via the MCP server. Validation against external sources such as Confluence is not available today, and AI Assist cannot yet swap in your own model.