# strands-mcp-q-index-perplexity

> strands-mcp-q-index-perplexity — windson-strands-mcp-q-index-perplexity. Use this tool when you need to calculate the perplexity of language models or index business data across multiple applications. It solves problems related to information retrieval, question answering, and natural language processing, providing outputs such as indexed data and perplexity scores from inputs like text queries and business data. Ideal for use cases involving complex data analysis and AI-powered insights, especially when integrated with git version control.

Canonical page: https://skillsregistry.net/skills/windson-strands-mcp-q-index-perplexity  
JSON: https://api.skillsregistry.net/v1/skills/windson-strands-mcp-q-index-perplexity

## Description

Strands Agents using MCP Tools powered by Amazon Q Business Cross App index and Perplexity Ask

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/windson/strands-mcp-q-index-perplexity)

## 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": "windson-strands-mcp-q-index-perplexity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/windson-strands-mcp-q-index-perplexity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/windson-strands-mcp-q-index-perplexity/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