Description
Model Context Protocol: Advanced Features. This course explores the advanced capabilities and features of the Model Context Protocol for building intelligent systems and managing multiple agents. The Model Context Protocol (MCP) goes beyond simple tools, resources, and prompts. This advanced course teaches learners how to leverage advanced client capabilities such as interactive requests, improving the user experience with custom clients, and orchestrating MCP-based workflows using multiple agents. Agent-based AI workflows require capabilities beyond simple tool invocations; such as reliable data transfer, richer client-side capabilities, and systems that can coordinate across multiple agents and systems. In this specialized course, participants learn how to extend their MCP servers with capabilities that support stateful client interactions. The first part explores advanced client and server features, including Elicitations, Sampling, Completions, and Subscriptions, using TypeScript and Python. It then teaches you how to build custom clients using FastMCP. The final part covers how to orchestrate and coordinate multi-stage, multi-agent tasks using the Cloudflare platform. Upon completion of this course, learners will have the skills and knowledge of advanced MCP patterns to design powerful servers and manage real-world agent workflows. In addition, the course helps developers take their AI system architecture to the next level. By mastering advanced client-server communication, engineers will be able to build scalable, interactive applications that automatically adapt to environmental changes. This training ensures that technical teams can implement the most complex automation scenarios with the highest accuracy and benefit from the full potential of modern protocols in AI projects.
What you will learn
- Using advanced client capabilities: Learn how to leverage features such as interactive prompts and sampling in MCP systems.
- Development with TypeScript and Python: Implement and configure advanced server and client features using both popular programming languages.
- Building Custom Clients: Learn how to design and develop custom clients using the powerful FastMCP tool.
- Subscription management and auto-completion: Implement automatic data update and request completion capabilities within the protocol.
- Multi-Agent Orchestration: Coordinate and manage complex, multi-step tasks with multiple AI agents on the Cloudflare platform.
- Designing agent workflows: Building automated, advanced systems to manage real-world scenarios using stateful capabilities.
This course is suitable for people who:
- Advanced AI Developers: Programmers who have a relative mastery of MCP basics and want to take their knowledge to an advanced level.
- Systems and Infrastructure Engineers: Professionals who seek to coordinate and manage multiple AI agents in scalable projects.
- Software architects: System designers who want to implement advanced client-server communications in AI-based applications.
- Python and TypeScript developers: People who plan to use these languages to build custom MCP clients and servers.
Course Description Model Context Protocol: Advanced Features
- Publisher: Pluralsight
- Instructor: Kamran Ayub
- Education level: Intermediate
- Training duration: 1 hour and 36 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
352 MB