How to Use the User-Agent Parser MCP in OpenAI Agents SDK

Q: How do I ensure accurate client identification with User-Agent Parser for OpenAI Agents SDK?

The parseua tool decodes raw UA strings into structured JSON fields (Browser, OS, Device). This means your agents work off verified data, not approximations. It prevents the common failure of LLMs hallucinating client specs from log files.

Structured device data parsing with the User-Agent Parser and OpenAI Agents SDK.

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Connect User-Agent Parser MCP to OpenAI Agents SDK

Create your Vinkius account to connect User-Agent 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 User-Agent Parser with OpenAI Agents SDK

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Run UA Parsing via MCP Server in Production Python SDK

The `parse_ua` tool takes a raw HTTP header string and spits out clean JSON. Instead of having your agent guess what kind of browser or OS made the request, it gets exact fields for Browser, OS, and Device. This structured input means your agents' guardrails work better. They don't process fuzzy text; they execute on validated client specifications pulled directly from the MCP Server.

Handling Log Data with OpenAI Agents SDK

You can pass raw log entries to the `parse_ua` tool, and it does the heavy lifting. It accurately separates the device type from the rest of the garbage text in your server logs. This level of detail makes building reliable production agents possible. You get consistent data—it's not a guess; it’s parsed facts.

Inter-Agent Communication Using MCP Server

One specialized agent can call the `parse_ua` tool to validate client details before passing that JSON object to another agent. This prevents bad data from contaminating your workflow. The entire process runs through an MCP Server, giving you full tracing via the OpenAI dashboard. You know exactly where and how the user-agent specs were determined.

Setup guide

Set up User-Agent 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 User-Agent Parser tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives User-Agent 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 User-Agent 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="User-Agent Parser Agent",
            instructions="You have access to User-Agent 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 User-Agent Parser MCP in OpenAI Agents SDK

The `parse_ua` tool decodes raw UA strings into structured JSON fields (Browser, OS, Device). This means your agents work off verified data, not approximations. It prevents the common failure of LLMs hallucinating client specs from log files.

Absolutely. You pass the raw UA string, no matter how messy, to `parse_ua`. The tool extracts structured data and gives you clean JSON objects containing the Browser, OS, and Device type. It's designed for real-world, dirty log analysis.

Yes. Since it's an MCP Server, you can chain actions. An agent uses `parse_ua` to get the client specs, and then hands that structured JSON data off to another specialized agent for further processing.

It accepts raw UA strings from HTTP headers or server logs. The tool's job is just to read that string and output a structured JSON object detailing the Browser, OS, and Device.

This MCP Server processes User-Agent strings. Specifically, it decodes raw HTTP User-Agent headers into structured client specifications: Browser, Operating System, and Device type.

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