DeepL MCP server for AI agents and assistants

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.

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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.

9 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every DeepL MCP action and event your agent gets out of the box.

Correct-text

Correct one or more texts for typos, grammar and punctuation errors using DeepL.

Download-document

Get a download link for a translated document once its status is 'done'.

Get-document-status

Check the translation status of a document session.

Get-source-languages

Get the source language codes supported by DeepL for translation, e.

Get-target-languages

Get the target language codes supported by DeepL for translation, e.

Rephrase-text

Rephrase text in the same or a different language using DeepL.

Translate-text

Translate text to one or more target languages using DeepL.

Upload-document

Translate a whole file or document, preserving its original layout and formatting.

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.

SETUP GUIDE

Connect DeepL MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["deepl_mcp"],
  mcp: true,
});
Create a session scoped to DeepL MCP and read its MCP URL and headers
3

Connect your agent to the MCP server

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();
Pass the session's MCP URL and headers to your agent and run a DeepL MCP request
SETUP GUIDE

Connect DeepL MCP API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

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();
Initialize Composio with the OpenAI Responses provider and create a session scoped to DeepL MCP
3

Run DeepL MCP tools with your agent

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);
Send a request, execute the DeepL MCP tool calls through the session, and print the final answer

Why Use Composio?

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

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

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

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
FRAMEWORKS

Use DeepL MCP with any AI Agent Framework

Choose a Framework you want to connect DeepL MCP with

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

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