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Integration · Sell and serve

DeepL and Meteor AI agents

Connect DeepL to a Met: translate messages with your glossaries and style rules, rewrite and correct texts with the official MCP.

How does DeepL connect to Meteor?

With the DeepL ready connector, your Met translates with your DeepL account. It translates a text into the language you ask for, detects the source language by itself if you do not give it, adjusts formal or informal tone and follows the glossaries and style rules your team saved in DeepL. It also rewrites a text in the same language or another one and corrects errors. It helps you serve customers who write in another language on WhatsApp with your business's terminology. Usage runs on your DeepL plan.

What it automates

What a Meteor Met does with DeepL

Serve customers in their language

When a customer writes in English or Portuguese, the Met translates the reply with DeepL into the customer's language, with the tone you defined.

Keep your business terminology

If your team has a glossary in DeepL, the Met uses it when translating so your product and service names always come out the same.

Rewrite a message before sending it

The Met rewrites or corrects a text, such as a reply template or an announcement, so it reads clearly and without errors.

11 tools

Everything your Met can ask DeepL for

Each one is a real action in the connector. You can switch off the ones you would rather it never used.

Tool What it does
translate_text Translates a text into another language, with glossary, style rule and formal or informal tone if requested.
rephrase_text Rewrites a text, in the same language or another one.
correct_text Corrects the errors in a text.
get_source_languages Lists the language codes DeepL accepts as a translation source.
get_target_languages Lists the language codes DeepL can translate into.
list_glossaries Lists the account's glossaries with their name, dictionaries and creation date.
get_glossary_info Returns the details of a specific glossary.
get_glossary_dictionary_entries Returns the terms of a glossary dictionary, for a language pair in one direction.
list_style_rules Lists the account's style rules with their name, language and dates.
get_style_rule Returns a full style rule, with its rules and custom instructions.
get_custom_instruction Returns a custom instruction that belongs to a style rule.

The limits

What the DeepL integration does NOT do

We would rather say it here than have you find out during rollout.

Before you start

What you need to connect DeepL

  1. 1

    A DeepL account

    Your business's DeepL account. The glossaries and style rules you want to use are created in DeepL before connecting.

  2. 2

    Connect it in Met

    In Met, open Connections → DeepL → Connect. A DeepL window opens so you sign in and authorize Met.

Frequently asked questions

Questions about DeepL and Meteor

Yes. If the source language is not given, DeepL detects it by itself. Only with a glossary does it need to be stated.

Yes, in the languages where DeepL allows it: translation accepts a formality level. Where the language does not support it, DeepL uses its default form.

If you save them in a DeepL glossary, the Met uses it when translating and the names come out the same in every message.

You do, with your DeepL account and plan. Met does not charge for the translations your Met asks DeepL for.

Step by step

Automations that use DeepL

Complete tasks, with the steps and the tools that run at each one.

Sell and serve

Other integrations in the same family

Want to see a Met running DeepL?

We will show you with your own account connected, not with a canned demo.