mcp-for-beginners and ContextPods

The MCP for Beginners curriculum is a complementary resource to ContextPods, which acts as a management suite for generating and managing Model Context Protocols that align with the foundational concepts taught in the former.

mcp-for-beginners
73
Verified
ContextPods
27
Experimental
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 7/25
Maturity 7/25
Community 11/25
Stars: 15,320
Forks: 4,986
Downloads:
Commits (30d): 307
Language: Jupyter Notebook
License: MIT
Stars: 39
Forks: 5
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About mcp-for-beginners

microsoft/mcp-for-beginners

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

This curriculum teaches developers how to build robust and scalable AI applications by standardizing communication between AI models and various tools or services. It provides hands-on, cross-language examples to help developers integrate AI components seamlessly. The target users are developers who want to create intelligent systems using .NET, Java, TypeScript, JavaScript, Rust, or Python.

AI development application architecture software engineering API integration system design

About ContextPods

conorluddy/ContextPods

Model Context Protocol management suite/factory. An MCP that can generate and manage other local MCPs in multiple languages. Uses the official SDKs for code gen.

This is a development framework for building and managing Model Context Protocol (MCP) servers. It helps developers create custom interfaces that take various data inputs (text, images, audio) and produce structured outputs, often integrating with large language models. The primary users are software developers and architects who need to create standardized, AI-enabled services.

AI-integration API-development service-orchestration developer-tools LLM-deployment

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