Perplexity Web Search MCP Server

Perplexity Web Search MCP Server

By nachoal GitHub

A perplexity MCP server

Overview

What is Perplexity Web Search MCP Server?

Perplexity Web Search MCP Server is a simple Model Context Protocol (MCP) server that provides web search functionality using the Perplexity API, enabling AI assistants to access up-to-date information from the web.

How to use Perplexity Web Search MCP Server?

To use the server, clone the repository, install the dependencies, set your Perplexity API key, and run the server using the provided commands. You can also test the server functionality with a test script.

Key features of Perplexity Web Search MCP Server?

  • Powerful web search capabilities using the Perplexity API
  • Comprehensive search results with sources and citations
  • Filtering of results by time period (day, week, month, year)
  • Ready-to-use prompt template for web searches
  • Support for loading API key from environment variables or a .env file

Use cases of Perplexity Web Search MCP Server?

  1. Integrating web search functionality into AI assistants like Claude.
  2. Retrieving the latest news and research on various topics.
  3. Providing users with accurate and up-to-date information from the web.

FAQ from Perplexity Web Search MCP Server?

  • How do I get a Perplexity API key?

Visit the Perplexity API Settings, create an account, and generate an API key.

  • Can I filter search results by time?

Yes! You can filter results by day, week, month, or year.

  • Is there a test script available?

Yes! A test script is included to test the server functionality without running the full server.

Content

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

You can set the PERPLEXITY_API_KEY environment variable with your Perplexity API key:

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

Alternatively, you can create a .env file in the project root with the following content:

PERPLEXITY_API_KEY=your-api-key-here

A sample .env.example file is provided for reference.

To get a Perplexity API key:

  1. Visit Perplexity API Settings
  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

You can test the server functionality without running the full MCP server using the included test script:

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

Options for --recency are: 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 following 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

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