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Accept Language Parser MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 1 tools to Parse Accept Language

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

Ask AI about this MCP Server for OpenAI Agents SDK

The Accept Language Parser MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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="Accept Language Parser Assistant",
            instructions=(
                "You help users interact with Accept Language Parser. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Accept Language Parser
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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 Accept Language Parser MCP Server

When a global routing agent reads Accept-Language: en-US,pt-BR;q=0.9,fr;q=0.8, it needs to correctly parse quality weights and determine the user's preferred language. This MCP does it deterministically.

The OpenAI Agents SDK auto-discovers all 1 tools from Accept Language Parser through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Accept Language Parser, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

The Superpowers

  • RFC 7231 Compliant: Parses quality values (q-factors) exactly as specified by the HTTP standard.
  • Priority Ordered: Returns languages sorted by quality weight, with the preferred language first.

The Accept Language Parser MCP Server exposes 1 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Accept Language Parser tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Accept Language Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning http-headers, localization, language-detection, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

parse

Parse accept language on Accept Language Parser

Pass the raw header value (e.g. "en-US,pt-BR;q=0.9,fr;q=0.8") and receive a priority-ordered list of languages with their quality weights. Never try to parse quality weights manually. Parses HTTP Accept-Language headers into an ordered list of user language preferences with quality weights. Essential for global routing and i18n agents

Connect Accept Language Parser to OpenAI Agents SDK via MCP

Follow these steps to wire Accept Language Parser into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 1 tools from Accept Language Parser

Why Use OpenAI Agents SDK with the Accept Language Parser MCP Server

OpenAI Agents SDK provides unique advantages when paired with Accept Language Parser 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

Accept Language Parser + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Accept Language Parser MCP Server delivers measurable value.

01

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

02

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

03

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

04

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

Example Prompts for Accept Language Parser in OpenAI Agents SDK

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

01

"Parse this Accept-Language header: en-US,pt-BR;q=0.9,fr;q=0.8"

02

"What is the user's preferred language from: de,en-GB;q=0.7,ja;q=0.3"

03

"How many languages does the browser support based on this header: zh-CN,zh;q=0.9,en;q=0.8,ko;q=0.7,ar;q=0.6"

Troubleshooting Accept Language Parser MCP Server with OpenAI Agents SDK

Common issues when connecting Accept Language Parser to OpenAI Agents SDK through 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.

Accept Language Parser + OpenAI Agents SDK FAQ

Common questions about integrating Accept Language Parser 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.

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