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Hands-On Lab: Give Your AI Agent Better Documentation with Context Hub

Integrate Context Hub as an MCP server for your AI agent and watch it fetch curated, version-accurate library documentation to diagnose and fix real bugs faster and more reliably.
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By completing this lab, you will be able to:

  • Install and explore the Context Hub CLI to browse curated library documentation
  • Wire Context Hub as an MCP server to an AI agent such as Claude Code
  • Prompt an AI agent to fetch up-to-date documentation before diagnosing a bug
  • Use an AI agent to identify and fix incorrect Prisma ORM query logic guided by live documentation
  • Save annotations to Context Hub documentation to capture findings for future agent sessions
What you are going to learn

Stop Letting AI Guess: Ground Your Agent in Accurate, Up-to-Date Docs

This lab introduces Context Hub, a CLI tool that gives AI agents on-demand access to curated documentation for the libraries and packages you use every day. You will start by exploring the Context Hub CLI, searching for available documentation, and understanding how it surfaces LLM-optimized content rather than raw web results. From there, you will wire Context Hub as an MCP server into your AI agent and validate that the connection is working.

By the end of the lab, you will have used your AI agent to diagnose and fix a broken Prisma ORM query by pulling in up-to-date documentation at the moment it is needed. You will also use Context Hub's annotation feature to save a note directly to the documentation based on what your agent discovered. The workflow you practice here applies to any library supported by Context Hub and gives your agent a meaningful edge when working with APIs that have changed since its training data was collected.

Recommended Courses

The following courses are highly recommended before tackling this lab. They will provide all the knowledge you need to understand everything that is discussed in the lab.

Lab Contents