How AI engineers connect agents to enterprise data: the agent-API stack

If you're a modern developer, AI agents need access to your APIs. But giving them that access without bad code, security risks, or a maintenance nightmare is the hard part. In this video, Camille breaks down a three-layer architecture that solves it: GraphQL for typed validation, Apollo Skills for best-practice code generation, and Apollo MCP Server for controlled execution with security boundaries. Each layer works independently — and compounds when combined. Read the full blog: https://www.apollographql.com/blog/building-a-secure-ai-agent-api-stack-with-graphql-apollo-skills-and-mcp-server GraphQL for AI agents, Model Context Protocol (MCP), Apollo MCP Server, AI agent API integration, building with AI agents, agent-API stack, GraphQL schema validation, Apollo Skills, API security for AI agents, agentic AI, AI engineer tools 0:00 The Problem: Connecting AI Agents to Enterprise APIs 0:27 Why GraphQL is the Interface for AI Agents 0:57 Beyond Data: Ensuring Type-Safe AI Operations 1:39 Apollo Skills: Teaching AI Best Practices 2:16 Securing the Stack: Apollo MCP & Access Control 2:58 The Agent-API Architecture: Putting it Together