You can access the Playwright 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "browser": "chrome",
12    "capabilities": [
13        "core"
14    ]
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("jiri.spilka/playwright-mcp-server").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25    console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Playwright MCP Server API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Playwright MCP Server API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Playwright MCP Server API in Python

Playwright MCP Server API through CLI

Playwright MCP Server OpenAPI definition

Playwright 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

Firecrawl MCP Server

agentify/firecrawl-mcp-server

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

agentify

300

Time MCP Server

agentify/time-mcp-server

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

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

245

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

OpenAI Agent MCP Tester

jiri.spilka/openai-agent-mcp-tester

Automated Model Context Protocol (MCP) server testing and evaluation tool using openai-agents SDK. Connects to multiple MCP servers via HTTP streaming, tests available tools using AI agents, and generates detailed reports with pass/fail status for each server. Supports custom authentication headers

Jiří Spilka

Context7 MCP Server

agentify/context7-mcp-server

Up-to-date code documentation for any prompt

agentify

Calculator MCP server

agentify/calculator-mcp-server

A Model Context Protocol server for calculating. This server enables LLMs to use calculator for precise numerical calculations.

agentify

Mcp Validator

rocketagro/mcp-validator

**MCP Validator** is a professional validation and compliance testing tool for [Model Context Protocol (MCP)](https://modelcontextprotocol.io) servers. It ensures your MCP server’s **tools, resources, prompts, and templates** are correct, compliant, and production-ready.