# How to integrate DeepL MCP with Atomic Agent

```json
{
  "title": "How to integrate DeepL MCP with Atomic Agent",
  "toolkit": "DeepL MCP",
  "toolkit_slug": "deepl_mcp",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/deepl_mcp/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/deepl_mcp/framework/atomic-agent.md",
  "updated_at": "2026-10-22T05:31:42.182Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including DeepL.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a DeepL account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate DeepL MCP with

- [ChatGPT](https://composio.dev/toolkits/deepl_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/deepl_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/deepl_mcp/framework/hermes-agent)

## TL;DR

### How Atomic Agent connects to DeepL
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect DeepL MCP to Atomic Agent

### Connect DeepL to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in DeepL. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your DeepL account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## What is the DeepL MCP server, and what's possible with it?

The DeepL MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your DeepL account. It provides structured and secure access to DeepL's translation and writing tools, so your agent can translate text, translate documents, correct writing, and rephrase content on your behalf.
- Text translation: Have your agent translate text into one or more target languages using DeepL.
- Document translation: Let the agent upload documents for translation while preserving their original layout and formatting, then check the translation status and download the finished document.
- Writing correction: Direct your agent to fix typos, grammar, and punctuation errors in one or more texts.
- Text rephrasing: Instruct your agent to rephrase content in the same language or a different language.
- Language discovery: Have your agent find the source and target language codes supported by DeepL before starting a translation.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DEEPL_MCP_CORRECT_TEXT` | Correct-text | Correct one or more texts for typos, grammar and punctuation errors using DeepL. |
| `DEEPL_MCP_DOWNLOAD_DOCUMENT` | Download-document | Get a download link for a translated document once its status is 'done'. Returns 'downloadUrl', a short-lived, single-use link. Fetch it with an HTTP GET (the URL carries its own token, so do not add an Authorization header), or present it to the user. The link works only once. The bytes are streamed from the server and never pass through this conversation. For an upload with several target languages: omit 'targetLang' to get one link per finished language, or pass it to get that one language. |
| `DEEPL_MCP_GET_DOCUMENT_STATUS` | Get-document-status | Check the translation status of a document session. Returns one of: 'awaiting_upload' (file not received yet), 'queued', 'translating', 'done', or 'error'. The additive 'uploadStatus' is 'awaiting', 'uploading', or 'complete' when known. Any of the upload's session ids reports the whole upload: 'status' covers every target language ('translating' while any language still runs, 'error' only when they all failed) and 'targets' reports each language on its own. Once the status is 'done', call download-document. |
| `DEEPL_MCP_GET_SOURCE_LANGUAGES` | Get-source-languages | Get the source language codes supported by DeepL for translation, e.g. 'EN' or 'DE'. Use one of these for the sourceLang parameter of translate-text. |
| `DEEPL_MCP_GET_TARGET_LANGUAGES` | Get-target-languages | Get the target language codes supported by DeepL for translation, e.g. 'EN-US' or 'DE'. Use one of these for the targetLang parameter of translate-text. |
| `DEEPL_MCP_REPHRASE_TEXT` | Rephrase-text | Rephrase text in the same or a different language using DeepL. |
| `DEEPL_MCP_TRANSLATE_TEXT` | Translate-text | Translate text to one or more target languages using DeepL. Use this for plain text provided directly in the conversation — snippets, strings, messages, or passages pasted by the user. Do not use this to translate a file or document (e.g. Word, PowerPoint, Excel, PDF, HTML, .txt, .srt, .xlf/.xliff) — even if you can already read its contents — because it returns plain text and discards the document's layout and formatting. For files, use upload-document instead. Review the optional parameters and use those that apply for best results. When using a glossary, you must specify the source language as well as the target language. If the user references a glossary by name, use list-glossaries to look up its id. An unknown glossaryId is silently ignored (translation proceeds without it). An administrator may assign a language system (style profile) to the account, whose glossaries and style rule set can replace the glossaryId and styleId passed here; 'appliedCustomizations' in the result says so when it happened, per target language. Every target language is translated in one call; the result holds one entry per language, and a language DeepL refused is reported in 'failures' while the others still translate. Multiple texts are supported and translated independently; within each target language, results correlate to the inputs by position. If any text is blank, the whole request is rejected. |
| `DEEPL_MCP_UPLOAD_DOCUMENT` | Upload-document | Translate a whole file or document, preserving its original layout and formatting. Use this — not translate-text — whenever the user wants to translate a file or document (rather than text typed into the conversation), even if its contents are already visible to you; translate-text would strip the formatting. For plain text pasted into the conversation, use translate-text instead. Supported file extensions in this deployment: .docx, .doc, .pptx, .ppt, .xlsx, .xls, .pdf, .htm, .html, .txt, .xlf, .xliff, .srt, .png, .jpg, .jpeg. PNG and JPEG files are limited to 3 MB; limits for other formats depend on the user's plan. Always start a document translation with this call, and pass 'filename' with the file's extension. It reserves a short-lived upload session and returns 'sessionId' and 'uploadUrl'; it does not upload the file itself, and nothing is translated or billed until the file arrives. If the call had no 'filename', first call upload-document again with it. Then do exactly one of the following: 1. Upload the source file bytes: HTTP PUT the raw bytes to 'uploadUrl' with 'Content-Type: application/octet-stream'. 2. If you cannot access or transfer the file bytes, immediately call upload-document-show-fallback-widget with the returned 'sessionId'; it shows the user an upload widget where they select the file. Being unable to upload the bytes directly is an expected, recoverable condition: the next step is then to call upload-document-show-fallback-widget. Pass all target languages in one call rather than one call per language: the file is then uploaded only once. Each language is translated and billed separately once the file arrives. A language DeepL refuses is listed in 'failures' while the others still translate. An administrator may assign a language system (style profile) to the account, whose glossaries and style rule set can replace the glossaryId and styleId passed here; 'appliedCustomizations' on a target says so when it happened, per target language. |
| `DEEPL_MCP_UPLOAD_DOCUMENT_SHOW_FALLBACK_WIDGET` | Upload-document-show-fallback-widget | Second step of a document translation, for when the file bytes cannot be sent to 'uploadUrl': shows the user an upload widget for the upload session that upload-document already reserved, so they can select the file themselves. Call it with the 'sessionId' returned by upload-document right after that call, whenever you cannot access or transfer the file bytes. The widget tracks the translation and offers the download. |

## Supported Triggers

None listed.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use DeepL from Atomic Agent
With your account connected, ask Atomic Agent to work with DeepL in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build DeepL MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/deepl_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/deepl_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/deepl_mcp/framework/hermes-agent)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and DeepL MCP?

With a standalone DeepL MCP server, the agents and LLMs can only access a fixed set of DeepL tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from DeepL and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right DeepL tools.

### Can I manage the permissions and scopes for DeepL while using Tool Router?

Yes, absolutely. You can configure which DeepL scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your DeepL data and credentials are handled as safely as possible.

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