Question 1

What is the DeepL MCP Server?

Accepted Answer

The DeepL MCP Server is a Model Context Protocol (MCP) server that utilizes the DeepL API to provide translation and rephrasing capabilities to AI models and applications.

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs (Large Language Models), enabling them to interact with external data sources and tools.

Question 3

What are the key features of the DeepL MCP Server?

Accepted Answer

Key features include multi-language translation, text rephrasing, DeepL API integration, formality control, automatic language detection, and Claude Desktop integration.

Question 4

How do I install the DeepL MCP Server?

Accepted Answer

You can install the server using npm (`npm install deepl-mcp-server`) or by cloning the repository from GitHub and running `npm install`.

Question 5

Do I need a DeepL API key to use the server?

Accepted Answer

Yes, a DeepL API key is required. You can obtain one by signing up for a DeepL API account at DeepL's website.

Question 6

How do I configure the server to work with Claude Desktop?

Accepted Answer

You need to edit the Claude Desktop configuration file (`claude_desktop_config.json`) and add the DeepL MCP server configuration, specifying the path to the server and your DeepL API key. Restart Claude Desktop after configuring.

Question 7

What languages are supported by the DeepL MCP Server?

Accepted Answer

The server supports a wide variety of languages supported by the DeepL API. You can use the `get-source-languages` and `get-target-languages` tools to see the full list of supported languages.

Question 8

What tools are available in the DeepL MCP Server?

Accepted Answer

The server provides the following tools: `get-source-languages`, `get-target-languages`, `translate-text`, and `rephrase-text`.

Question 9

How do I use the `translate-text` tool?

Accepted Answer

The `translate-text` tool takes the text to translate, the target language code (e.g., 'en-US', 'de', 'fr'), and optionally the formality level as parameters.

Question 10

What is the `rephrase-text` tool used for?

Accepted Answer

The `rephrase-text` tool rephrases the input text using the DeepL API, potentially in the same or a different language, to improve its clarity or style.

Question 11

What do I do if I encounter errors with the DeepL API?

Accepted Answer

Check that your API key is correct, that you are not exceeding your API usage limits, and that the language codes you are using are supported. Refer to the MCP debugging documentation for more information.

Question 12

Where can I find the MCP debugging documentation?

Accepted Answer

The MCP debugging documentation can be found at [https://modelcontextprotocol.io/docs/tools/debugging](https://modelcontextprotocol.io/docs/tools/debugging).

Question 13

What is the license for the DeepL MCP Server?

Accepted Answer

The server is licensed under the MIT License.

Question 14

How does the DeepL MCP Server integrate with UBOS Platform?

Accepted Answer

By integrating the DeepL MCP Server, AI agents built on the UBOS platform can seamlessly translate and rephrase text, enabling them to interact with users and process information in multiple languages, improving their capabilities and potential applications.

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