alza-mcp-community: Unofficial, community-built MCP server for Alza.cz: product search, filters, deals, reviews, plus

by lukabudik · MCP Server · ★ 93

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

How to install alza-mcp-community

claude mcp add alza --scope user -- npx -y alza-mcp-community
npx -y alza-mcp-community --http --port 3000          # or: ALZA_TRANSPORT=http ALZA_HTTP_PORT=3000 npx -y alza-mcp-community

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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.

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.

ai-agentalzaalza-czanthropicclaudeczechecommercemcpmodel-context-protocolplaywright

Quick Facts

Stars93
Forks14
LanguageTypeScript
CategoryMCP Server
Quality Score66/100
Open Issues2
Last Updated2026-10-29
Created2026-05-09
Platformsclaude-code, mcp, node
Est. Tokens~26k

About alza-mcp-community

alza-mcp-community Let your AI agent shop on Alza.cz — Central Europe's largest e-commerce store. Unofficial, community-built project. Not made, endorsed or supported by Alza.cz a.s. is an unofficial Model Context Protocol server that gives Claude (or any MCP-aware agent) an interface to Alza through browser-based catalog scraping and reverse-engineered mobile/web APIs: search products, pull full...

Compatible Skills

These tools work well together with alza-mcp-community for enhanced workflows:

  • open-supermarkets — semantic(0.37)+shared_fw(playwright)+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • Filtmall-Shopping-Skill — semantic(0.33)+complementary+rare_topics+similar_pop+shared_platform (56%)

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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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