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MCP server · Science

io.github.rog0x/cache

Cache headers, CDN, LRU simulation for AI agents

Unclaimed science
37Low

Scored 6 months ago · breakdown

About io.github.rog0x/cache

io.github.rog0x/cache is an MCP server in the Science category: cache headers, CDN, LRU simulation for AI agents.

Install

Claude Code
claude mcp add io-github-rog0x-cache -- npx -y @rog0x/mcp-cache-tools
npx
npx -y @rog0x/mcp-cache-tools

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

@rog0x/mcp-cache-tools

MCP Server #30 — Caching and memoization tools for AI agents.

Analyze, generate, simulate, and optimize caching strategies across HTTP, CDN, and browser layers.

Tools

1. analyze_cache_headers

Analyze HTTP cache headers (Cache-Control, ETag, Last-Modified, Expires, Vary). Grades the overall caching strategy A+ through F and provides actionable improvement suggestions with context-aware advice for static assets, API responses, HTML pages, and media.

2. generate_cache_key

Generate deterministic cache keys from various inputs:

  • URL mode — normalizes URL, sorts query params, filters include/exclude params
  • Body mode — hashes request body with JSON key sorting for consistency
  • Composite mode — combines multiple key parts into a single deterministic hash

Supports namespacing, versioning, TTL, and outputs ready-to-use Redis/Memcached commands.

3. simulate_cache

Simulate cache behavior for a sequence of requests. Compare eviction strategies side-by-side:

  • LRU — Least Recently Used
  • LFU — Least Frequently Used
  • FIFO — First In, First Out
  • TTL — Time-To-Live based expiration

Outputs hit rate, miss rate, eviction count, and step-by-step timeline.

4. check_cdn_headers

Detect which CDN is serving a resource from response headers. Identifies Cloudflare, Fastly, Akamai, CloudFront, Vercel, Netlify, Google Cloud CDN, Azure CDN, KeyCDN, and Bunny CDN. Reports cache status (HIT/MISS/STALE/BYPASS), edge server, and POP location.

5. analyze_browser_cache

Analyze what resources a page would cache in the browser. Determines cache type (strong, heuristic, conditional, none), duration, revalidation strategy, and estimates bandwidth/time savings on repeat visits. Groups results by resource type with optimization suggestions.

Setup

npm install
npm run build

MCP Configuration

{
  "mcpServers": {
    "mcp-cache-tools": {
      "command": "node",
      "args": ["D:/products/mcp-servers/mcp-cache-tools/dist/index.js"]
    }
  }
}

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.rog0x/cache

How do I install io.github.rog0x/cache?

Run claude mcp add io-github-rog0x-cache -- npx -y @rog0x/mcp-cache-tools, then add the server to your MCP client's configuration.

Is io.github.rog0x/cache safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.rog0x/cache still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.