# mcp-cache-tools

> Use this tool when you need to optimize caching strategies for improved performance and efficiency in AI-powered applications. It analyzes and generates caching strategies across multiple layers, including HTTP, CDN, and browser, to solve problems related to slow loading times and high latency. By providing inputs such as caching policies and network conditions, it outputs optimized caching configurations for enhanced user experience.

Canonical page: https://skillsregistry.net/skills/rog0x-mcp-cache-tools  
JSON: https://api.skillsregistry.net/v1/skills/rog0x-mcp-cache-tools

## Description

Analyzes, generates, simulates, and optimizes caching strategies across HTTP, CDN, and browser layers for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l6406vni43)
- **Repository:** <https://github.com/rog0x/mcp-cache-tools>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rog0x-mcp-cache-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-cache-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-cache-tools/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt