How to Use the Accept Language Parser MCP in OpenAI Agents SDK

Parse raw HTTP language headers into ordered preferences directly within your OpenAI Agents SDK production pipelines.

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Connect Accept Language Parser MCP to OpenAI Agents SDK

Create your Vinkius account to connect Accept Language Parser to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Accept Language Parser with OpenAI Agents SDK

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Native i18n Routing for OpenAI Agents SDK

Production agents need to know exactly which language the user expects before generating a response. Handing raw HTTP headers to an LLM is a guaranteed way to waste tokens and risk hallucinated parsing logic. You pass the raw string to the `parse_accept_language` tool, and your agent gets back a clean, sorted array of language codes and quality weights. The OpenAI dashboard traces the exact input and output, so you always see how the routing decisions happened.

Strict Quality Weight Extraction

Dealing with strings like 'en-US,pt-BR;q=0.9,fr;q=0.8' manually requires ugly regex that breaks when edge cases pop up. This MCP Server handles the complex string manipulation instantly. Your agent hands off the heavy lifting to the parser instead of guessing. You get precise quality weights extracted and sorted by priority, ensuring your specialized translation agents know exactly which fallback language to pick if the primary isn't available.

Zero-Config Tool Auto-Discovery

Setting up external MCP tools usually means writing boilerplate wrapper functions. Vinkius handles the infrastructure, so you just pass the endpoint token. The OpenAI Agents SDK automatically discovers the parsing tool the second you connect. Set cacheToolsList=True in your configuration, and your system skips the discovery overhead on subsequent runs.

Setup guide

Set up Accept Language Parser MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Accept Language Parser tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Accept Language Parser tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Accept Language Parser tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Accept Language Parser Agent",
            instructions="You have access to Accept Language Parser tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Accept Language Parser MCP in OpenAI Agents SDK

Install the openai-agents package via pip. Create an MCPServerStreamableHttp instance with your Vinkius endpoint URL and pass it to the mcp_servers array in your Agent constructor.

Yes. Your agent can read the parsed quality weights and trigger a handoff to a specialized, language-specific agent. It removes the need for manual header inspection.

It works perfectly. Every call to the parsing tool shows up in your OpenAI dashboard, so you can audit exactly how the header was interpreted.

The tool returns a sorted list of dictionaries containing the language code, region code, and the numerical quality weight. It handles the sorting automatically based on the 'q' values.

The parser only processes the raw HTTP Accept-Language header string you send it. Vinkius runs the server in an ephemeral V8 Isolate Sandbox, meaning the header text is processed in memory and instantly destroyed after the tool returns the array.

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