AI Agent Knowledge Library

Tutorials

Step-by-step guides for building AI agents, agent features, integrations, and complete agentic applications.

4 Published resources

Explore: Knowledge & RAG Tools & Integrations

Editor’s pick

Start with this guide

An MCP client discovers tools, routes an approved request to the correct server, and normalizes the result.

Tutorial Intermediate

Build an MCP Client: Discovery, Routing, and Results

An implementation guide to MCP client connection management, tool discovery, model mapping, routing, result handling, and observability.

Knowledge library

Latest resources

4 published articles

A typed Python function is exposed through a FastMCP server to an MCP client.

Tutorial Intermediate

Build Your First MCP Server in Python

A step-by-step Python tutorial for building, running, testing, and hardening a small MCP server with a typed tool.

An architecture showing a user, AI agent, reasoning step, retrieval tool, knowledge base, retrieved context, observation, and answer or next action.

Tutorial Beginner

Build Your First RAG Agent

Build a framework-neutral RAG agent with a controlled retrieval tool, attributable evidence, bounded loops, citation checks, traces, and layered evaluation.

A beginner AI agent architecture with a model, task tool, state store, and a circular execution path.

Tutorial Beginner

Build Your First AI Agent

Build a genuine AI task agent in plain Python with tool calling, observations, state, guardrails, logging, error handling, and tests.