Perplexity MCP Integration

Guide for integrating Perplexity search with PraisonAI agents using MCP

Add Perplexity Search Tool to AI Agent

Quick Start

1. Set API Key

   Set your Perplexity API key as an environment variable in your terminal:

   export PERPLEXITY_API_KEY=your_perplexity_api_key_here
   
2. Create a file

   Create a new file perplexity_search.py with the following code:

   from praisonaiagents import Agent, MCP
   import os
   
   # Get API key from environment variable
   api_key = os.getenv("PERPLEXITY_API_KEY")
   
   agent = Agent(
       instructions="You are a helpful assistant that can search the web for information. Use the available tools when relevant to answer user questions.",
       llm="gpt-4o-mini",
       tools=MCP("uvx perplexity-mcp", 
           env={"PERPLEXITY_API_KEY": api_key, "PERPLEXITY_MODEL": "sonar" })
   )
   
   result = agent.start("What is the latest news on AI?, Pass only the query parameter to the tool")
   
   print(result)
   
3. Install Dependencies

   Make sure you have the required packages installed:

   pip install "praisonaiagents[llm]"
   
4. Run the Agent

   Execute your script:

   python perplexity_search.py
   

Requirements

• Python 3.10 or higher
• Perplexity API key

Features

Web Search

Search the web for real-time information using Perplexity’s powerful search API.

Sonar Model

Utilize Perplexity’s Sonar model for high-quality search results.

MCP Integration

Seamless integration with Model Context Protocol.

Environment Variables

Securely pass API keys using environment variables.