# PPX-MCP

> Use this tool when you need to perform real-time web searches and access multiple AI models without API key restrictions. PPX-MCP solves authentication and model selection problems by leveraging Pro subscriptions and browser cookies, enabling seamless query execution and automation. It accepts user inputs for queries and model selection, and outputs relevant search results and model information.

Canonical page: https://skillsregistry.net/skills/mahii1972-ppx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mahii1972-ppx-mcp

## Description

An unofficial MCP server for Perplexity AI that leverages Pro subscriptions and browser cookies to enable real-time web searches and model selection without an API key. It provides tools for performing queries, listing available models, and automating the login process to manage authentication.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** scanned
- **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/caw0kf7kcu)
- **Repository:** <https://github.com/Mahii1972/ppx-mcp>

## 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": "mahii1972-ppx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mahii1972-ppx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mahii1972-ppx-mcp/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