MCP Servers Made Easy with Python and OpenAI Agents | CodeSignal Learn
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intermediate
intermediate
MCP Servers Made Easy with Python and OpenAI Agents
Software Engineering
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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4.66
774 learners
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Verified skills you'll gain
Badge for Multi-Agent Systems and Coordination, Developing
DEVELOPING
Multi-Agent Systems and Coordination
Badge for Tool Integration and Action Execution, Advanced
ADVANCED
Tool Integration and Action Execution
Tools you'll use
Model Context Protocol
OpenAI
Python
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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.
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Course 2
Developing and Integrating an MCP Server in Python
4 lessons
Course 3
Advanced MCP Server and Agent Integration in Python
4 lessons
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Francisco Aguilar Meléndez
Data Scientist
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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.
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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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