Agent governance

Your supergraph is already an agent platform. Govern it like one.

Declare skills in the schema. Expose them over MCP. Apply the checks, policy and usage analytics you already run for humans.

Talk to an engineer

The ungoverned-door problem.

Teams ship MCP servers per sprint. Each one is a new path to production data with its own auth story, its own logging, and no relationship to your schema governance. Within two quarters nobody holds the list.

Skills live in the schema.

Declare skills in the schema. Expose them over MCP. Apply the checks, policy and usage analytics you already run for humans.

Consumers, policy and checks, supergraph, subgraphsWeb, mobile and agents pass through a shared policy and checks layer into the supergraph and then the subgraphs.WebMobileAgentsPolicy + checksSupergraphSubgraphSubgraphSubgraph

Policy per agent.

Field-level and operation-level. Read-only agents that cannot reach a mutation. Agents scoped to one subgraph.

Cost and usage attribution.

Which agent, which operation, which team's budget, what latency.

Audit.

One trail covering humans, apps and agents, because it is one graph.

How you get there.

Two weeks on top of a migration, or a standalone engagement on an existing Hive deployment.

Bring us your graph.

One call, an engineer on it, and a straight answer about whether this is worth doing for you.

Talk to an engineer