You can access the DeepL 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
12// Run the Actor and wait for it to finish
13const run = await client.actor("agentify/deepl-mcp-server").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

DeepL MCP Server API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use DeepL 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:

DeepL MCP Server API in Python

DeepL MCP Server API through CLI

DeepL MCP Server OpenAPI definition

DeepL MCP Server API

Playwright MCP Server

jiri.spilka/playwright-mcp-server

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

Jiří Spilka

Time MCP Server

mcp-servers/time-mcp-server

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

MCP servers

Browserbase MCP Server

mcp-servers/browserbase-mcp-server

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

MCP servers

5.0

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

5.0

Firecrawl MCP Server

mcp-servers/firecrawl-mcp-server

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

MCP servers

Mindmap MCP Server

mcp-servers/mindmap-mcp-server

A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps.

MCP servers

FetchSERP MCP Server

mcp-servers/fetchserp-mcp-server

A Model Context Protocol (MCP) server that exposes the FetchSERP API for SEO, SERP analysis, web scraping, and keyword research.

MCP servers

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

837

5.0

PubMed MCP Server

mcp-servers/pubmed-mcp-server

A server implementing the Model Context Protocol (MCP) for accessing and processing PubMed biomedical literature data

MCP servers

ArXiv MCP server

jakub.kopecky/arxiv-mcp-server

The ArXiv MCP server provides a bridge between AI assistants and arXiv's research repository through the Model Context Protocol (MCP). It allows AI models to search for papers and access their content in a programmatic way.