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MCP server · Agents

AI Agent Systems Course

Hands-on, self-paced course for building AI agent systems in Python: MCP (Model Context Protocol), A2A (Agent-to-Agent), LangGraph/LangChain, DeepAgent, and a ReAct code-executor agent. Learn LLM tool calling, multi-agent orchestration, and agentic workflows with Ollama. Taught at the University of Bologna.

34Low

Scored a month ago · breakdown

About AI Agent Systems Course

AI Agent Systems Course is an MCP server published by MSKazemi in the Agents category: hands-on, self-paced course for building AI agent systems in Python: MCP (Model Context Protocol), A2A (Agent-to-Agent), LangGraph/LangChain, DeepAgent, and a ReAct code-executor agent. Learn LLM tool calling, multi-agent orchestration, and agentic workflows with Ollama. Taught at the University of Bologna.

Install

From source
git clone https://github.com/MSKazemi/ai-agent-systems-course

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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About AI Agent Systems Course

How do I install AI Agent Systems Course?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AI Agent Systems Course safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AI Agent Systems Course still maintained?

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