# AURA MCP Server

> Use this tool when you need to optimize language model interactions by caching frequent answers and running local computations. It solves problems of excessive LLM call costs and slow response times by providing free answers when possible. The AURA MCP Server takes in prompts and statistical queries as inputs and outputs cached answers, computation results, and usage statistics.

Canonical page: https://skillsregistry.net/skills/izzoizzoizzo-aura  
JSON: https://api.skillsregistry.net/v1/skills/izzoizzoizzo-aura

## Description

Provides tools to cache answers, run local compute, and retrieve stats, reducing LLM calls by answering prompts for free when possible.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zode0g74rs)
- **Repository:** <https://github.com/IzzoSol/Aura>

## 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": "izzoizzoizzo-aura"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/izzoizzoizzo-aura` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/izzoizzoizzo-aura/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