How to Use the Accept Language Parser MCP in Google ADK

Extract structured language preferences from raw headers directly inside your Google ADK enterprise applications.

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Connect Accept Language Parser MCP to Google ADK

Create your Vinkius account to connect Accept Language 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 Accept Language Parser with Google ADK

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Deterministic Parsing for Google ADK

Gemini models can hold millions of tokens, but asking them to manually sort HTTP header quality weights is a waste of compute. You want your LLM reasoning about data, not doing basic string manipulation. Calling `parse_accept_language` offloads the tedious regex work to a dedicated utility. Your agent gets a cleanly ordered list of user language preferences, making it easy to query BigQuery tables containing localized content.

Priority-Ordered Language Extraction

Browsers send messy strings like 'en-US,pt-BR;q=0.9,fr;q=0.8' that dictate exactly how content should degrade. Guessing the fallback order leads to poor user experiences. The tool instantly reads the 'q' values and sorts the languages from highest to lowest priority. Your Vertex AI endpoints can then confidently return the exact localization the user requested.

Cloud-Ready MCP Server Integration

Enterprise agents need reliable infrastructure. Vinkius manages the hosting, giving you a single endpoint token to drop into your Google Cloud environment. You initialize an McpToolset with the Vinkius URL and attach it to your LlmAgent. The server handles the HTTP transport natively, exposing the parsing capabilities to your Gemini ecosystem without any custom networking code.

Setup guide

Set up Accept Language 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 Accept Language 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="Accept Language Parser_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Accept Language Parser tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Accept Language Parser MCP in Google ADK

Install google-adk and create an McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass that toolset directly to your LlmAgent initialization.

LLMs are probabilistic, meaning they occasionally mess up strict numerical sorting. Using a dedicated MCP Server guarantees deterministic parsing of the quality weights every single time.

Yes. If you connect to a larger server, you can use the tool_names filter in your McpToolset to ensure your agent only sees the parsing tool.

The agent receives the parsed array and can use it to filter localized records in BigQuery or adjust its own generation language based on the top priority choice.

Yes. The tool only touches the specific Accept-Language header string you pass to it. Everything executes inside a zero-trust sandbox, ensuring the header data is parsed and immediately discarded without ever hitting a disk.

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