O'Reilly AI Agents
An introduction to the world of AI Agents
What is O'Reilly AI Agents?
O'Reilly AI Agents is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to introduction to the world of ai agents
An introduction to the world of AI Agents
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An introduction to the world of AI Agents
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx oreilly-ai-agentsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use O'Reilly AI Agents
The O'Reilly AI Agents repository is a comprehensive educational resource accompanying the O'Reilly live training course on building AI agents, covering frameworks including LangGraph, CrewAI, AutoGen, SmolAgents, Google ADK, and the OpenAI Agents SDK. It contains a large collection of Jupyter notebooks demonstrating multi-agent systems, RAG workflows, Plan-and-Execute patterns, Reflection agents, computer-use automation, and MCP integration examples. Developers learning to build production-ready agentic AI systems will find it a practical, code-first reference spanning both prototyping and deployment patterns.
Prerequisites
- Python 3.11 installed (virtual environment recommended)
- API keys for the LLM providers you plan to use (OpenAI, Anthropic, Google, or others covered in notebooks)
- Jupyter or JupyterLab installed to run the notebooks
- Git to clone the repository
Clone the repository
Clone the course repository from GitHub to get all notebooks and supporting files.
git clone https://github.com/sinanuozdemir/oreilly-ai-agents.git
cd oreilly-ai-agentsCreate and activate a virtual environment
Isolate the course dependencies in a Python virtual environment to avoid conflicts with other projects.
python3.11 -m venv venv
source venv/bin/activate # macOS/Linux
# On Windows: venv\Scripts\activateInstall Python dependencies
Install all required packages from the requirements file. This includes LangGraph, CrewAI, AutoGen, and other frameworks used across the notebooks.
pip install -r requirements.txtSet your API keys
Export the API keys for the LLM providers used in the notebooks. Most notebooks require at least one of these.
export OPENAI_API_KEY="sk-your-openai-key"
export ANTHROPIC_API_KEY="sk-ant-your-key"
export GOOGLE_API_KEY="your-google-key"Launch Jupyter and open a notebook
Start JupyterLab or the classic notebook server and navigate to the notebook you want to study.
jupyter labO'Reilly AI Agents Examples
Client configuration
This repository is a Jupyter notebook course, not a standalone MCP server. The minimal environment setup to run the notebooks is shown here.
{
"setup": "python virtual environment",
"python_version": "3.11",
"install": "pip install -r requirements.txt",
"required_env": [
"OPENAI_API_KEY",
"ANTHROPIC_API_KEY"
]
}Topics and notebooks to explore
Key areas covered in the course notebooks that you can work through to learn agentic AI patterns.
- Multi-agent systems with LangGraph (parallel execution, supervisor patterns)
- Building ReAct agents with tool use and reasoning loops
- CrewAI: role-based agent crews for collaborative tasks
- Microsoft AutoGen: conversational multi-agent programming
- Plan-and-Execute agents: separating planning from action
- MCP integration: connecting agents to external tools via Model Context Protocol
- Agent evaluation: rubrics, alignment scoring, and tool-selection bias analysis
- Computer use: vision-model automation with reasoning LLMsTroubleshooting O'Reilly AI Agents
pip install -r requirements.txt fails with dependency conflicts
Ensure you are using Python 3.11 specifically, as some agent frameworks have strict version requirements. Create a fresh virtual environment and retry the install.
Notebooks fail with API authentication errors
Each notebook uses different providers. Check which framework the notebook imports (openai, anthropic, google.generativeai) and ensure you have exported the corresponding API key in your session before launching Jupyter.
LangGraph or CrewAI imports fail even after pip install
Confirm your virtual environment is activated (you should see the venv prefix in your prompt) and that you ran pip install inside that environment, not at the system Python level.
Frequently Asked Questions about O'Reilly AI Agents
What is O'Reilly AI Agents?
O'Reilly AI Agents is a Model Context Protocol (MCP) server that introduction to the world of ai agents It connects AI assistants to external tools and data sources through a standardized interface.
How do I install O'Reilly AI Agents?
Follow the installation instructions on the O'Reilly AI Agents GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with O'Reilly AI Agents?
O'Reilly AI Agents works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is O'Reilly AI Agents free to use?
Yes, O'Reilly AI Agents is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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