How do I find my DeepL API Key?

Log in to your [**DeepL account**](https://www.deepl.com/pro-account/plan), and you will find your Authentication Key under the 'Account' tab. Copy and paste it below.

Does this work with both Free and Pro API keys?

Yes. This server automatically detects if you are using a Free key (ending in `:fx`) or a Pro key and routes requests to the correct endpoint.

Can the agent use glossaries?

Yes. You can list your existing glossaries via the `get_glossaries` tool and identify their IDs to maintain consistency in your agent-led translations.

DeepL MCP Server for Cursor 9 tools — connect in under 2 minutes

Name: DeepL
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 9 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install DeepL and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "deepl": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DeepL MCP Server

Empower your AI agent to orchestrate your entire multilingual workflow with DeepL, the world's most accurate AI translator. By connecting DeepL to your agent, you transform complex translation tasks into a natural conversation. Your agent can instantly translate text between dozens of languages, audit available language pairs, and monitor API usage without you ever touching a technical dashboard. Whether you are localized content or communicating with international teams, your agent acts as a real-time linguistic bridge, ensuring your communication is always precise and professional.

Cursor's Agent mode turns DeepL into an in-editor superpower. Ask Cursor to generate code using live data from DeepL and it fetches, processes, and writes — all in a single agentic loop. 9 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Text Auditing — Translate text into target languages and retrieve detected source language metadata instantly.
Linguistic Oversight — List all supported source and target languages to maintain a clear view of translation options.
Usage Intelligence — Monitor your character count and API limits to maintain strict control over your translation budget.
Glossary Management — List and query configured translation glossaries to ensure consistent brand terminology.
Contextual Tone Control — Translate text enforcing strict formal, informal, or standard business tones instantly.
Markup Preservation — Translate HTML elements while safely preserving tag boundaries and web structure.

The DeepL MCP Server exposes 9 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DeepL to Cursor via MCP

Follow these steps to integrate the DeepL MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using DeepL

Open Agent mode in chat and ask: "Using DeepL, help me..." — 9 tools available

Why Use Cursor with the DeepL MCP Server

Cursor AI Code Editor provides unique advantages when paired with DeepL through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

DeepL + Cursor Use Cases

Practical scenarios where Cursor combined with the DeepL MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

DeepL MCP Tools for Cursor (9)

These 9 tools become available when you connect DeepL to Cursor via MCP:

get_account_glossaries

List configured translation glossaries

get_api_usage

Get current API usage and character limit constraints

get_glossary_dictionary

Get term mapping entries for a specific glossary ID

get_source_languages

List all supported source languages for translation

get_target_languages

g., EN-US, PT-BR) that DeepL can translate TO. List all supported target languages for translation

translate_html_markup

Translate HTML elements while preserving tag structure

translate_text_formal

g., "Sie" in German, "vous" in French) suitable for business communications. Translate text using a formal/business tone

translate_text_informal

g., "du" in German, "tu" in French) suitable for casual platforms. Translate text using an informal/casual tone

translate_text_standard

Translate text into a target language using standard tone

Example Prompts for DeepL in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with DeepL immediately.

"Translate 'Hello world' into Portuguese using DeepL."

"Show me all supported target languages in DeepL."

"What is my current DeepL usage?"

Troubleshooting DeepL MCP Server with Cursor

Common issues when connecting DeepL to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

DeepL + Cursor FAQ

Common questions about integrating DeepL MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.