DeepL MCP Server for Mastra AIGive Mastra AI instant access to 14 tools to Create Glossary, Delete Glossary, Get Document Status, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect DeepL through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The DeepL app connector for Mastra AI 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
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-alternative": {
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 14 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
Connect your DeepL account to any AI agent and access neural machine translation through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and DeepL tool infrastructure. Connect 14 tools through 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 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 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.
All 14 DeepL tools available for Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire DeepL into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
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
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 '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 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.