DeepL MCP Server for Mastra AI 9 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DeepL through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"deepl": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "DeepL Agent",
instructions:
"You help users interact with DeepL " +
"using 9 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with DeepL?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and DeepL tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the DeepL MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 9 tools from DeepL via MCP
Why Use Mastra AI with the DeepL MCP Server
Mastra AI provides unique advantages when paired with DeepL through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add DeepL without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every DeepL tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
DeepL + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the DeepL MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query DeepL, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed DeepL as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query DeepL on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using DeepL tools alongside other MCP servers
DeepL MCP Tools for Mastra AI (9)
These 9 tools become available when you connect DeepL to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting DeepL to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDeepL + Mastra AI FAQ
Common questions about integrating DeepL MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect DeepL with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DeepL to Mastra AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.