How to Use the User-Agent Parser MCP in Google ADK

Q: How do I get accurate client identification with User-Agent Parser for Google ADK?

Use the parseua tool. It takes a raw UA string and converts it into structured JSON containing Browser, OS, and Device details. This provides machine-readable facts that your Gemini models can process reliably.

Analyze massive log files and structure device details using the User-Agent Parser with Google ADK.

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Connect User-Agent Parser MCP to Google ADK

Create your Vinkius account to connect User-Agent Parser to Google ADK 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 Google ADK

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Extract Client Details for Google ADK Agents

The `parse_ua` tool lets you take a raw UA string and immediately turn it into structured JSON. This gives you exact identification of the client's Browser, OS, and Device. When your agents use this via an MCP Server, they don't rely on fuzzy text processing; they act on verified data points, which is crucial when running complex reasoning over BigQuery.

BigQuery Integration with User-Agent Parser

You can pipe raw log data into the `parse_ua` tool to structure it before loading it into your BigQuery tables. This turns messy text fields into queryable, structured JSON objects. This keeps your 1M+ token context clean and reliable. You’re querying verified client specs instead of relying on pattern matching.

Robust Data Validation for Google ADK

The `parse_ua` tool reliably handles the parsing, providing structured Browser, OS, and Device data every time. It prevents your Gemini models from hallucinating client information when analyzing large volumes of logs. This guaranteed structure means you build enterprise agents on solid ground—the MCP Server ensures consistency.

Setup guide

Set up User-Agent Parser MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with User-Agent Parser tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="User-Agent Parser_agent",
    model="gemini-2.0-flash",
    instruction="You have access to User-Agent Parser tools via MCP.",
    tools=mcp_tools,
)

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Common questions about User-Agent Parser MCP in Google ADK

Use the `parse_ua` tool. It takes a raw UA string and converts it into structured JSON containing Browser, OS, and Device details. This provides machine-readable facts that your Gemini models can process reliably.

Yes. Because this is an MCP Server designed for enterprise use, it processes the raw UA string and outputs structured data suitable for ingestion into BigQuery. It’s built to keep your large context windows accurate.

It is. The tool provides the necessary clean, structured data points (Browser, OS, Device) that allow your agents to perform deep reasoning across massive datasets without running into client specification ambiguity.

It supports any raw UA string from HTTP headers or server logs. The tool focuses purely on extraction, giving you structured JSON regardless of the source's messiness.

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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