github-stars: A Cloudflare-powered MCP Server that allows you to search and query your GitHub starred repositories

by miantiao-me · MCP Server · ★ 118

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

Security audit verdict: SAFE · quality 79/100

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.

autoragcloudflarecloudflare-agentsgithub-starsmcp

Quick Facts

Stars118
Forks27
LanguageJavaScript
CategoryMCP Server
LicenseApache-2.0
Quality Score79/100
Last Updated2026-10-31
Created2024-12-01
Platformsmcp, node
Est. Tokens~13k

About github-stars

GitHub Stars MCP Server A Cloudflare-powered MCP (Model Context Protocol) Server that allows you to search and query your GitHub starred repositories using natural language. English | 简体中文 Overview This project creates a searchable database of your GitHub starred repositories by: Fetching all your starred repositories using the GitHub API Extracting and processing the README files from each...

Compatible Skills

These tools work well together with github-stars for enhanced workflows:

  • skills — semantic(0.41)+complementary+shared_fw(cloudflare)+rare_topics+similar_pop (62%)
  • mcp — semantic(0.60)+shared_fw(cloudflare)+rare_topics+similar_pop+shared_platform (59%)
  • clanker — semantic(0.31)+complementary+shared_fw(cloudflare)+rare_topics+similar_pop (53%)

github-stars alternative? Top 6 similar tools

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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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