Agentic AI
Give AI agents secure, governed access to your APIs
Turn your existing graph into a secure foundation for AI agents. Ship agentic experiences without building a new access layer.
Teams with agentic ai in production
GraphQL is the right foundation for agents
Agents can't reason about dozens of disconnected REST endpoints. A graph already answers what connects, what's safe, and who can access it. This isn't new architecture — it's the graph you already have.
Our journey started with the core need to remove duplication and get developers to focus on building features that matter. And now that same layer is the deterministic foundation for our AI agents.
Praga Prakasam
Principal Architect, American Airlines
Every 90 days
new AI agent capabilities ship into production.
Built for agents, not just APIs
Scope agent access
Agents only see what they're supposed to. Set the boundary once at the data layer, and every agent and tool inherits it automatically.
Agent-ready in days
Wrap existing services and expose them to agents without rewriting APIs or waiting on the teams that own them.
One access layer
Agents perform better with a scoped view, not the entire graph. Define what each one needs from a single governed layer.
One platform, four ways to bring agents into it
Ship agentic experiences
Apollo MCP Server
Point it at your API. Your operations become MCP tools automatically.
Get started with Apollo MCP Server →GraphOS for agents
Your existing graph, now the foundation agents build on: identity, governance, and discovery included.
Get started with GraphOS for agents →Build faster with agents
GraphOS MCP Server
Apollo's hosted MCP server, ask your graph questions in plain language.
Get started with GraphOS MCP Server →Apollo Skills
Reusable skills that teach coding agents your Apollo patterns, so they don't reinvent them.
Get started with Apollo Skills →
Your graph is already agent-ready
Give agents governed access to the APIs you've already built. No new access layer required.