# Perplexity

> Use this tool when you need to leverage AI-powered research capabilities without API key restrictions, providing a research-level Model Context Protocol (MCP) server implementation to solve complex information retrieval and analysis problems. It accepts research queries as input and outputs relevant information and insights. Ideal for use cases requiring unrestricted access to advanced AI research infrastructure.

Canonical page: https://skillsregistry.net/skills/wysh3-perplexity  
JSON: https://api.skillsregistry.net/v1/skills/wysh3-perplexity

## Description

A research level Model Context Protocol (MCP) server implementation providing AI-powered research capabilities through Perplexity's infrastructure without using any API key.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wysh3-perplexity)
- **Repository:** <https://github.com/wysh3/perplexity-mcp-zerver>

## 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": "wysh3-perplexity"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wysh3-perplexity` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wysh3-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