Perplexity Search MCP

This tool wraps the search functionality of Perplexity AI into a standardized tool using the Model Context Protocol (MCP). It allows you to perform advanced search queries with filtering and customization options.

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:
- query: A single search query or an array of queries for multi-query search.
- max_results: Specifies the maximum number of search results to return (maximum 20).
- country: Filters search results by geographic location (e.g., 'US', 'GB', 'DE').
- max_tokens_per_page: Controls the maximum number of tokens retrieved from each webpage during search processing. Higher values provide more comprehensive content extraction but may increase processing time.
- search_domain_filter: A list of domains/URLs to restrict search results. For example: ["science.org", "pnas.org", "cell.com"]
Communicates with the host environment via standard input/output (Stdio).

🚀 Getting Started

1. Prerequisites

Ensure you have Bun installed.
Obtain 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

Set the PERPLEXITY_API_KEY environment variable with your Perplexity API key.

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 build the project into a single, optimized JavaScript file:

bun run build

This 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

node dist/perplexity-search-mcp.js

🛠️ Tool Definition