# DeepL MCP

```json
{
  "name": "DeepL MCP",
  "slug": "deepl_mcp",
  "url": "https://composio.dev/toolkits/deepl_mcp",
  "markdown_url": "https://composio.dev/toolkits/deepl_mcp.md",
  "logo_url": "https://logos.composio.dev/api/deepl_mcp",
  "categories": [
    "document & file management"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-22T05:31:42.182Z"
}
```

![DeepL MCP logo](https://logos.composio.dev/api/deepl_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with DeepL MCP or direct API to translate text, translate documents, improve writing, discover supported languages, and automate multilingual workflows through natural language.

## Summary

DeepL MCP is a provider-hosted translation and writing assistant server powered by DeepL.
It helps deliver accurate multilingual translations and clearer writing through a single MCP connection.

## Categories

- document & file management

## Toolkit Details

- Tools: 9

## Images

- Logo: https://logos.composio.dev/api/deepl_mcp

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for DeepL MCP.
  - Setup:
    - Configure Dcr Oauth credentials for DeepL MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Translate product copy into French and Spanish
- Improve this customer email for clearer English
- List languages supported for document 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.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to DeepL MCP
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["deepl_mcp"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["deepl_mcp"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run DeepL MCP tools with your agent

Send a request, execute the DeepL MCP tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Translate the text 'The meeting starts at nine tomorrow.' from English to German."}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Translate the text 'The meeting starts at nine tomorrow.' from English to German." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to DeepL MCP and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["deepl_mcp"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["deepl_mcp"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a DeepL MCP request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to DeepL MCP tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Translate the text 'The meeting starts at nine tomorrow.' from English to German.")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Translate the text 'The meeting starts at nine tomorrow.' from English to German.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native DeepL MCP Integration

- Supports both DeepL MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable translation and writing tool execution
- Rich coverage for translating text and documents, improving writing, and querying supported languages

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke DeepL MCP access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access DeepL MCP
- Scoped, least privilege access to DeepL MCP resources
- Full audit trail of agent actions to support review and compliance

## Use DeepL MCP with any AI Agent Framework

Choose a framework you want to connect 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)
- [Atomic Agent](https://composio.dev/toolkits/deepl_mcp/framework/atomic-agent)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [ActiveMerge](https://composio.dev/toolkits/active_merge) - ActiveMerge is a document automation platform for generating documents, images, merged files, and e-signature workflows. It helps teams turn templates and stored files into finished, shareable documents faster.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Airparser](https://composio.dev/toolkits/airparser) - Airparser is an AI-powered parser for extracting structured data from emails, documents, PDFs, and files. It turns messy inbound content into clean fields your apps and workflows can use.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Archive.org](https://composio.dev/toolkits/archive_org) - Archive.org is the Internet Archive's digital library of websites, books, audio, video, and images. Use it to preserve, explore, and access historical web captures and public-domain media.
- [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files.
- [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently.
- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Box MCP](https://composio.dev/toolkits/box_mcp) - Box MCP is Box's hosted MCP server that exposes enterprise files, folders, and metadata. It provides secure, centralized access to corporate content for search and management.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [CertSeal](https://composio.dev/toolkits/cert_seal) - CertSeal is an API platform for issuing and managing verifiable digital certificates. Use it to automate trusted certificate workflows for recipients, batches, designs, and webhooks.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.

## Frequently Asked Questions

### Do I need my own developer credentials to use DeepL MCP with Composio?

Yes, DeepL MCP requires you to configure your own OAuth credentials. Once set up, Composio handles token storage, refresh, and lifecycle management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)