# microsoft/lets-learn-mcp-python

MCP Python Tutorial

Repository: https://github.com/microsoft/lets-learn-mcp-python
Canonical: https://ross.abutalabs.com/products/lets-learn-mcp-python
Homepage: https://aka.ms/lets-learn-mcp-python
Language: Python
License: MIT
License Family: permissive
Topics: ai, mcp, python
Last push: 2025-09-24T09:01:39+00:00

## Health v2 (maintenance only)
Score: 37/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 43, release rhythm 35, longevity 29
- inputs: {"age_days": 419, "days_push": 343, "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 1065, forks 198 (observed 2026-08-28T04:03:26.793960+00:00)

## What it is
A Microsoft tutorial series teaching Python developers how to build Model Context Protocol (MCP) servers through guided, hands-on lessons. Learners build a Python Study Buddy app and an AI research learning MCP server.

## Use cases
- learn how to build an MCP server in Python
- understand Model Context Protocol fundamentals
- create custom tools and prompts for AI assistants
- connect MCP servers to VS Code
- build an AI research paper study assistant
- get started with MCP client-server architecture

## When to choose
- you are a Python developer new to MCP and want a structured tutorial
- you want hands-on projects for learning MCP tools, prompts, and resources
- you prefer video-plus-code walkthroughs from Microsoft

## When to avoid
- you need production-ready MCP server code rather than educational examples
- you already know MCP and only need reference documentation
- you work in a language other than Python

## Facets
- artifact type: learning-resource
- maturity: active
- function: mcp, agent-framework, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, developer-tools
- platform: python, cross-platform
- tags: mcp-server, tutorial-series, model-context-protocol, ai-agents, vs-code

## Member repositories
- microsoft/lets-learn-mcp-python (main) score 37

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:26.793960+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 2026-08-30T06:55:30.782698+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/lets-learn-mcp-python (fetched 2026-08-28T04:03:26.793960+00:00, sha 82aa3c171732)
- Data as of 2026-08-30T08:39:29.467469+00:00.