You can access the Perplexity Sonar MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("agentify/perplexity-sonar-mcp-server").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Perplexity Sonar MCP Server API in Python

The Apify API client for Python is the official library that allows you to use Perplexity Sonar MCP Server API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Perplexity Sonar MCP Server API in JavaScript

Perplexity Sonar MCP Server API through CLI

Perplexity Sonar MCP Server OpenAPI definition

Perplexity Sonar MCP Server API

Browserbase MCP Server

agentify/browserbase-mcp-server

A Model Context Protocol (MCP) server that provides browser automation capabilities using Browserbase.

agentify

5.0

Time MCP Server

agentify/time-mcp-server

An MCP server implementing the Model Context Protocol (MCP) for time-related operations.

agentify

Firecrawl MCP Server

agentify/firecrawl-mcp-server

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl MCP for web scraping capabilities

agentify

295

MCP Deep Web Search

vojtech.kaiser/actor-deep-web-search-mcp

MCP Deep Search Server is a cloud-based tool for advanced research, combining real-time results from Google, Brave, Anthropic, OpenAI, Perplexity, and xAI. Now hosted in the cloud, it offers faster performance with no local installation needed.

Vojtech Kaiser

Playwright MCP Server

jiri.spilka/playwright-mcp-server

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright

Jiří Spilka

112

Perplexity AI Instant Response Actor

scraping_samurai/perplexity-ai-instant-response-actor

The Perplexity AI Actor allows you to interact with the Perplexity effortlessly. Simply input your queries and customize your results with system-level instructions and model selection. Enjoy customizable responses with no effort!

Scraping Samurai

5.0

pure.md MCP Server

agentify/pure-md-mcp-server

A Model Context Protocol server that provides web content extraction and search capabilities powered by Pure.md. This server converts URLs to clean markdown content and performs web searches, making web content easily accessible to AI assistants.

agentify

Weather MCP Server

jiri.spilka/weather-mcp-server

A Model Context Protocol (MCP) server that provides weather information using the Open-Meteo API

Jiří Spilka

223

5.0

Tester MCP Client

jiri.spilka/tester-mcp-client

A model context protocol (MCP) client that connects to any MCP server using Streamable HTTP and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over Stremable HTTP.

Jiří Spilka

5.0

Perplexity.AI Actor

jons/perplexity-actor

Use the Perplexity.ai Scraper to extract information with AI. For example: "Find hotels in Prague that offer free breakfast and have a nightly rate under 1000 CZK." Export the results into a structured dataset.