MCP Servers Made Easy with Python and OpenAI Agents | CodeSignal Learn

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intermediate

MCP Servers Made Easy with Python and OpenAI Agents

Artificial Intelligence

3 courses

52 practices

7 hours

Enable AI agents to actually DO things! Learn MCP - the protocol that lets agents use tools, access data & execute actions. Create Python servers your agents can call, from simple calculators to shopping assistants. Connect OpenAI agents to multiple services, add auth, and watch your AI come alive!

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Verified skills you'll gain

DEVELOPING

Multi-Agent Systems and Coordination

ADVANCED

Tool Integration and Action Execution

Tools you'll use

Model Context Protocol

OpenAI

Python

Course 1

Introduction to OpenAI Agents SDK in Python

4 lessons

20 practices

Get started with the OpenAI Agents SDK and discover how AI agents actually work! This practical course teaches you to build and run your own agents in Python, understand their conversation flows, and see how they use built-in and custom tools to accomplish tasks.

Course 2

Developing and Integrating an MCP Server in Python

4 lessons

19 practices

Learn to build and run your own Model Context Protocol (MCP) server in Python! This hands-on course teaches you how to implement tools, resources, and prompts that agents can use, run your server with different transport methods, and connect OpenAI agents to your MCP server for powerful integrations.

Course 3

Advanced MCP Server and Agent Integration in Python

4 lessons

13 practices

Take your MCP server skills to the next level! Optimize agent-server interactions with tool caching, connect agents to multiple MCP servers at once, integrate your MCP server with web frameworks, and add security through authentication middleware.

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