# 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.

Repository: https://github.com/microsoft/mcp-for-beginners
Canonical: https://ross.abutalabs.com/products/mcp-for-beginners
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: csharp, java, javascript, mcp, mcp-client, mcp-security, mcp-server, model, modelcontextprotocol, python, javascript-applications, model-context-protocol, typescript, rust
Last push: 2026-08-26T19:32:50+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 36
- inputs: {"age_days": 516, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17090, forks 5560 (observed 2026-08-28T04:11:17.662407+00:00)

## What it is
An open-source Microsoft curriculum teaching the fundamentals of the Model Context Protocol (MCP) through real-world examples in .NET, Java, TypeScript, JavaScript, Rust, and Python. It covers practical techniques for building modular, scalable, and secure AI workflows, from session setup to service orchestration.

## Use cases
- learn the model context protocol from scratch
- build an MCP server in Python or TypeScript
- understand MCP security best practices
- find cross-language MCP code examples
- get started integrating AI agents with MCP
- teach a course on MCP fundamentals

## When to choose
- you are new to MCP and want a structured, hands-on curriculum
- you want working examples in multiple programming languages
- you need guidance on building secure, scalable MCP-based AI workflows

## When to avoid
- you need production MCP tooling or a runtime library rather than learning material
- you are already an advanced MCP developer seeking deep reference documentation
- you need a protocol specification rather than a tutorial

## Facets
- artifact type: learning-resource
- maturity: active
- function: mcp, agent-framework, developer-tools, sdk
- domain: large-language-models, education, tutorials, developer-tools
- platform: cross-platform, python, rust, go, dotnet, jvm
- tags: model-context-protocol, curriculum, mcp-server, mcp-client, jupyter-notebooks, multi-language, beginner-friendly, ai-agents, nodejs

## Member repositories
- microsoft/mcp-for-beginners (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:17.662407+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:03:30.459590+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/mcp-for-beginners (fetched 2026-08-28T04:11:17.662407+00:00, sha 01fbf1353107)
- Data as of 2026-08-30T08:39:29.467469+00:00.