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Workshop: From Prompt to Production: Build AI Agents with Apollo MCP Server

Workshop: From Prompt to Production: Build AI Agents with Apollo MCP Server

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workshop

Details

  • Updated Nov 13, 2025
  • 7 lessons

What you'll learn

  • What the Model Context Protocol is and why we use it

  • How an MCP server enables communication between backend services and AI assistants

  • What Apollo Connectors are and how they work

  • How to use GraphOS MCP tools

  • Configure the Apollo MCP server to route requests to subgraph services

  • Connect Claude, an AI assistant, to a running MCP server

  • Create tools using self-documenting GraphQL operations

  • Run the MCP Inspector to investigate tools

Prerequisites

  • This workshop is for all levels. The following prerequisites will help but are not required.
  • Basic knowledge of GraphQL, including Schema Definition Language (SDL) and queries
  • Basic familiarity with Large Language Models (LLMs) and AI assistants such as Claude
  • Basic understanding of APIs and client-server communication

Instructor

Apollo

Lesson List

This tutorial includes

  • tasks
  • multiple choice questions

© 2025 Apollo Graph Inc., d/b/a Apollo GraphQL.

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