Perplexity Search MCP

Perplexity Search MCP

Enables AI-powered search capabilities through Perplexity AI's continuously refreshed index. Supports web, academic, and SEC search modes with advanced filtering options including geographic location and customizable result limits.

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README

Perplexity Search MCP

This is a tool based on the Model Context Protocol (MCP) that wraps the search functionality of Perplexity AI into a standardized tool that can be called via MCP.

This project is built with TypeScript and runs on the Bun runtime.

✨ Features

  • Provides the perplexity-search tool via MCP.
  • Supports various parameters for Perplexity search, such as:
    • query: A single or multiple search queries.
    • max_results: Specifies the maximum number of results to return.
    • country: Filters search results by geographic location.
    • search_mode: Supports web, academic, and sec search modes.
  • Communicates with the host environment via standard input/output (Stdio).

🚀 Getting Started

1. Prerequisites

  • Ensure you have Bun installed.
  • You will need an API key from Perplexity AI.

2. Installation

After cloning the project, run the following command in the root directory to install the required dependencies:

bun install

3. Configuration

This server requires the PERPLEXITY_API_KEY environment variable to be set.

4. Running the Server (Development)

To run the server directly from the TypeScript source for development, execute the following command:

bun run index.ts

The server will start and listen for MCP messages on standard I/O.

5. Building the Project

You can also build the project into a single, optimized JavaScript file.

bun run build

This command compiles index.ts and places the output in dist/perplexity-search-mcp.js.

After building, you can run the compiled file directly:

bun dist/perplexity-search-mcp.js
or
node dist/perplexity-search-mcp.js

🛠️ Tool Definition

perplexity-search

Description: Get ranked search results from Perplexity’s continuously refreshed index with advanced filtering and customization options.

Input Parameters:

Parameter Type Description Default
query string or string[] The search query or queries to execute. Required
max_results number The maximum number of search results to return (max 20). 10
country string Country code to filter results by geographic location (e.g., 'US', 'GB', 'DE'). Optional
max_tokens_per_page number Controls the maximum number of tokens retrieved from each webpage. Higher values provide more comprehensive content but may increase processing time. 2048
search_mode string The search mode. Can be web, academic, or sec. web

Output:

The tool returns a JSON string containing an array of search results from the Perplexity API.

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