Agno Agentic AI with MCP

Unlock the power of Agentic AI with this focused, hands-on course designed to teach you how to build intelligent financial agents using the Agno Agentic Framework and the MCP (Message, Chain, Plan) Protocol. Whether you’re an AI enthusiast, developer, or a financial tech innovator, this course will help you grasp the next evolution of AI workflows through practical projects.

You’ll dive into how Agno simplifies the development of autonomous, goal-driven agents using structured planning and communication patterns. Learn to design financial agents that can analyze market data, execute tasks, and retain knowledge using Memory Agents. Explore the Agno Playground, a visual environment to test and simulate agents with dynamic prompts and task flows.

The course emphasizes multi-agent collaboration where agents communicate and coordinate as teams to solve complex problems. Using real-world financial use cases, you’ll create agents that not only act independently but also plan, reflect, and delegate in multi-agent environments.

What you’ll build:

A smart Financial Analyst Agent using Agno & MCP

A Memory-augmented agent capable of recall and reasoning

A Multi-Agent system where agents collaborate on financial tasks

Use of Agno Playground to simulate and visualize workflows

No prior experience in agent frameworks is required—just a basic understanding of Python and AI concepts.

Start your journey into the world of Agentic AI today and build systems that think, plan, and act—autonomously.