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DeepL MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 14 tools to Create Glossary, Delete Glossary, Get Document Status, and more

Built by Vinkius GDPR 14 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DeepL through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The DeepL app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DeepL Assistant",
            instructions=(
                "You help users interact with DeepL. "
                "You have access to 14 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DeepL"
        )
        print(result.final_output)

asyncio.run(main())
DeepL
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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.

The OpenAI Agents SDK auto-discovers all 14 tools from DeepL through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DeepL, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_glossary

Create a glossary

delete_glossary

Delete a glossary

get_document_status

Check document translation status

get_glossary

Get glossary details

get_glossary_entries

Get glossary entries

get_usage

Check API usage

list_glossaries

List glossaries

list_glossary_language_pairs

List glossary language pairs

list_source_languages

List source languages

list_target_languages

List target languages

translate_formal

Translate with formal tone

translate_informal

Translate with informal tone

translate_text

Translate text

translate_with_glossary

Translate using glossary

Connect DeepL to OpenAI Agents SDK via MCP

Follow these steps to wire DeepL into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 14 tools from DeepL

Why Use OpenAI Agents SDK with the DeepL MCP Server

OpenAI Agents SDK provides unique advantages when paired with DeepL through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DeepL + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DeepL MCP Server delivers measurable value.

01

Automated workflows: build agents that query DeepL, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries DeepL, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through DeepL tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query DeepL to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for DeepL in OpenAI Agents SDK

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

01

"Translate 'Welcome to our platform. We look forward to working with you.' into German (formal) and Brazilian Portuguese (informal)."

02

"Create a glossary for EN→FR with our brand terms and then translate a marketing paragraph using it."

03

"Check my DeepL API usage and list all available target languages."

Troubleshooting DeepL MCP Server with OpenAI Agents SDK

Common issues when connecting DeepL to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DeepL + OpenAI Agents SDK FAQ

Common questions about integrating DeepL MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.