> ## Documentation Index
> Fetch the complete documentation index at: https://docs.caylex.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Perplexity

> AI-powered search and reasoning integration

The Perplexity MCP Server connects AI assistants to Perplexity's search and reasoning capabilities, enabling real-time web search, research, and enhanced decision-making in workflows.

## Server Details

| Property       | Value                                      |
| -------------- | ------------------------------------------ |
| **Transport**  | Streamable HTTP                            |
| **Hosting**    | Remote (externally hosted)                 |
| **Categories** | AI Platforms & APIs, AI & Machine Learning |

## Authentication

This server supports the following authentication method:

### Header Authentication

This server authenticates via HTTP headers. During the server onboarding flow, you will be prompted to confirm the required headers. Note that you do not provide the values for the headers during the server on-boarding.
Header values are provided by the users during the [Auth Link](/auth/auth-links) flow.

## Getting Started

<Steps>
  <Step title="Add the server">
    Navigate to the **Server Library** and click on the **New Server** button. Find **Perplexity** in the Caylex Catalog.
  </Step>

  <Step title="Server Onboarding flow">
    Go through the server onboarding flow.
  </Step>

  <Step title="Use in a project">
    Add the server to a [project](https://app.caylex.dev/projects) by configuring project connections. Its tools are now available to any agents connected to that project.
  </Step>
</Steps>

## Available Tools

This server provides **2** tools:

<AccordionGroup>
  <Accordion title="perplexity_search_tool">
    Run a web search using Perplexity Sonar. Use this when you need up-to-date information, facts, or current events.

    **When to use:** Research queries, real-time facts, recent news, or any question that benefits from live web data.
    **Input:** A list of messages (each with "role" and "content"). Typically one or more user messages; optional system message for context.
    **Returns:** Answer text plus numbered citations when available.

    Args:
    messages: Array of message objects, e.g. \[\{"role": "user", "content": "What is X?"}]

    Returns:
    Search result text with citations appended if available.
  </Accordion>

  <Accordion title="perplexity_reason_tool">
    Run step-by-step reasoning using Perplexity's reasoning model. Use for analysis, pros/cons, or multi-step logic.

    **When to use:** Structured analysis, comparing options, pros and cons, or when you need a reasoned chain of thought.
    **Input:** A list of messages (each with "role" and "content"). Typically a user message with the reasoning task.
    **Returns:** Reasoned response with citations when available.

    Args:
    messages: Array of message objects, e.g. \[\{"role": "user", "content": "Reason step by step: ..."}]

    Returns:
    Reasoned answer text with citations appended if available.
  </Accordion>
</AccordionGroup>

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