DeepL MCP Server for WindsurfGive Windsurf instant access to 14 tools to Create Glossary, Delete Glossary, Get Document Status, and more
Windsurf brings agentic AI coding to a purpose-built IDE. Connect DeepL through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
Ask AI about this App Connector for Windsurf
The DeepL app connector for Windsurf is a standout in the Ai Frontier category — giving your AI agent 14 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install DeepL and 3,400+ MCP Servers from a single visual interface.




{
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"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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* 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
Connect your DeepL account to any AI agent and access neural machine translation through natural conversation.
Windsurf's Cascade agent chains multiple DeepL tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 14 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Text Translation — Translate text into 30+ languages with optional formality control (formal, informal, or default)
- Glossary-Powered Translation — Apply custom glossaries to ensure consistent terminology across translations
- Glossary Management — Create, list, inspect, and delete custom glossaries with TSV term pairs
- Language Discovery — List all supported source and target languages, and glossary language pair combinations
- API Usage Monitoring — Track character count consumed, remaining quota, and billing period
- Document Translation — Monitor the progress of submitted document translations
The DeepL MCP Server exposes 14 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 14 DeepL tools available for Windsurf
When Windsurf connects to DeepL through Vinkius, your AI agent gets direct access to every tool listed below — spanning machine-translation, language-processing, glossary-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a glossary
Delete a glossary
Check document translation status
Get glossary details
Get glossary entries
Check API usage
List glossaries
List glossary language pairs
List source languages
List target languages
Translate with formal tone
Translate with informal tone
Translate text
Translate using glossary
Connect DeepL to Windsurf via MCP
Follow these steps to wire DeepL into Windsurf. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P and search "MCP"Add the server
mcp_config.jsonSave and reload
Start using DeepL
Why Use Windsurf with the DeepL MCP Server
Windsurf provides unique advantages when paired with DeepL through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 14 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
DeepL + Windsurf Use Cases
Practical scenarios where Windsurf combined with the DeepL MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from DeepL and generate models, types, or handlers based on real API responses
Live debugging: query DeepL tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from DeepL and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine DeepL data with Cascade's code generation to scaffold entire features in minutes
Example Prompts for DeepL in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with DeepL immediately.
"Translate 'Welcome to our platform. We look forward to working with you.' into German (formal) and Brazilian Portuguese (informal)."
"Create a glossary for EN→FR with our brand terms and then translate a marketing paragraph using it."
"Check my DeepL API usage and list all available target languages."
Troubleshooting DeepL MCP Server with Windsurf
Common issues when connecting DeepL to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
DeepL + Windsurf FAQ
Common questions about integrating DeepL MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.