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perplexity-mcp

by: nachoal

A perplexity MCP server

8created 06/03/2025
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perplexity

📌Overview

Purpose: To provide web search functionality through a simple MCP (Model Context Protocol) server using the Perplexity API for AI assistants.

Overview: The Perplexity Web Search MCP Server offers an integration that enables MCP-compatible AI assistants, such as Claude, to perform real-time web searches. It simplifies accessing updated information and robust search results via the Perplexity API.

Key Features:

  • Powerful Web Search: Utilizes Perplexity's advanced search capabilities to deliver informative results.

  • Comprehensive Results: Provides detailed search outcomes, complete with sources and citations for verification.

  • Result Filtering: Offers options to filter search results by different time frames (day, week, month, year) for more relevant information.

  • Prompt Template: Includes a ready-to-use prompt template specifically designed for web search queries.

  • API Key Configuration: Supports seamless configuration of the Perplexity API key via environment variables or a .env file.


Perplexity Web Search MCP Server

A simple MCP (Model Context Protocol) server that provides web search functionality using the Perplexity API. This server allows Claude or other MCP-compatible AI assistants to search the web and get up-to-date information.

Features

  • Search the web with Perplexity's powerful search capabilities
  • Get comprehensive search results with sources and citations
  • Filter results by time period (day, week, month, year)
  • Includes a ready-to-use prompt template for web searches
  • Supports loading API key from environment variables or .env file

Installation

  1. Clone this repository

  2. Install dependencies:

    pip install -e .
    

    or

    uv pip install -e .
    

Configuration

Set the PERPLEXITY_API_KEY environment variable with your Perplexity API key:

export PERPLEXITY_API_KEY="your-api-key-here"

Alternatively, create a .env file in the project root:

PERPLEXITY_API_KEY=your-api-key-here

To get a Perplexity API key:

  1. Visit https://www.perplexity.ai/settings/api
  2. Create an account if you don't have one
  3. Generate an API key

Usage

Running the server

python server.py

Testing the server

Test server functionality without running the full MCP server:

python test_server.py "your search query here" --recency month

Options for --recency: day, week, month (default), year

Using with Claude Desktop

  1. Edit your Claude Desktop configuration file:

    • On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%/Claude/claude_desktop_config.json
  2. Add the configuration:

    {
      "perplexity-mcp": {
        "env": {
          "PERPLEXITY_API_KEY": "your-api-key-here"
        },
        "command": "python",
        "args": [
          "/path/to/server.py"
        ]
      }
    }
    
  3. Restart Claude Desktop

Example Prompts for Claude

  • Search the web for the latest news about artificial intelligence
  • Use Perplexity to find information about climate change published in the past week
  • Search for recent research papers on quantum computing from the past month

API Reference

Tool: search_web(query: str, recency: str = "month") -> str

Search the web using Perplexity API and return results.

Parameters:

  • query: The search query string
  • recency: Filter results by time period - 'day', 'week', 'month' (default), or 'year'

Returns:
A comprehensive text response containing:

  1. A detailed summary of the search results
  2. Key facts and information found
  3. Sources with URLs for verification
  4. Any conflicting information if present

Prompt: web_search_prompt(query: str, recency: str = "month") -> str

Creates a prompt template for searching the web with Perplexity.

Parameters:

  • query: The search query
  • recency: Time period filter - 'day', 'week', 'month' (default), or 'year'

Returns:
A formatted prompt string that instructs the AI to:

  1. Search for the specified query
  2. Focus on results from the specified time period
  3. Summarize key findings
  4. Highlight important facts
  5. Mention conflicting information
  6. Cite sources with links

License

MIT