lets-learn-mcp-python: MCP Python Tutorial

by microsoft · MCP Server · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars1,068
Forks199
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score71/100
Open Issues3
Last Updated2025-09-24
Created2025-07-10
Platformsmcp, python
Est. Tokens~50k

About lets-learn-mcp-python

Let's Learn MCP with Python - Tutorial Series A comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences. Watch the video walkthrough on YouTube here: Let's Learn MCP Python Live Code from the AI Engineer Paris Talk can be found here: Building MCP Servers for VS Code What You'll Build By the end of this...

Compatible Skills

These tools work well together with lets-learn-mcp-python for enhanced workflows:

  • LLM_book — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • mcp_agent_mail — semantic(0.30)+same_lang+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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