MCP Crash Course: Complete Model Context Protocol in a Day
Год выпуска: 4/2025
Производитель: Udemy
Сайт производителя:
https://www.udemy.com/course/model-context-protocol/
Автор: Eden Marco
Продолжительность: 5h 6m 11s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:
Build, Connect, Deploy: Master MCP Servers, MCP Clients, Tools & Resources for Powerful LLM Applications
What you'll learn
- Model Context Protocol (MCP) Theory
- Model Context Protocol (MCP) Servers
- Model Context Protocol (MCP) Clients
- Model Context Protocol (MCP) Tools, Resources, Prompts
- MCP Security
Requirements
- Knowledge in the GenAI Ecosystem is a MUST
- Software Engineering Experience is a MUST
- NodeJS installed
- Python Installed
- Claude Desktop Installed
- Cursor Installed
Description
Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Cursor IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .
Ideal students are software developers / data scientists
MCP (Model Context Protocol): A protocol that helps build agents and complex workflows on top of LLMs, providing pre-built integrations, flexibility to switch between LLM providers, and security for your data.
Architecture Components
- MCP Hosts: Programs like Claude Desktop, Cursor, Windsurf, or AI tools that want to access data through MCP
- MCP Clients: Protocol clients that maintain 1:1 connections with servers (Content ETA April)
- MCP Servers: Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol
- Local Data Sources: Your computer's files, databases, and services that MCP servers can securely access (Content ETA End of March)
- Remote Services: External systems available over the internet (e.g., through APIs) that MCP servers can connect to
(Content ETA End of March)
- Authenticaiton
Key Capabilities
- Resources: Components that expose data and content from your servers to LLMs
- Prompts: Functionality to create reusable prompt templates and workflows
- Tools: Features that enable LLMs to perform actions through your server
- Sampling: Capability that lets your servers request completions from LLMs
- Transports: MCP's communication mechanism between clients and servers
Topic Covered:
- MCP + Agent Security best practices
- Containerizing MCP Servers
- Protocol Flow
- MCP + Docker
- MCP + LangChain
- OAuth 2.0 with MCP featuring Auth0
- MCP Deployment (featuring Cloudflare)
- A2A - Agent 2 Agent Protocol (WIP)
Who this course is for:
- Advanced GenAI Users
- This is an advanced course, knowledge in the GenAI Ecosystem is a must
- Data Scientists
- Application Developers
- AI Engineers
Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30.000 к/с, 1445 кб/с
Аудио: aac lc, 48.0 кгц, 128 кб/с, 2 аудио
MediaInfo
General
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