Accept Language Parser MCP Server for Google ADKGive Google ADK instant access to 1 tools to Parse Accept Language

Name: Accept Language Parser
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Accept Language Parser as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Accept Language Parser MCP Server for Google ADK 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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="accept_language_parser_agent",
    instruction=(
        "You help users interact with Accept Language Parser "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

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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.

Google ADK natively supports Accept Language Parser as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK

When Google ADK 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 Google ADK via MCP

Follow these steps to wire Accept Language Parser into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 1 tools from Accept Language Parser via MCP

Why Use Google ADK with the Accept Language Parser MCP Server

Google ADK provides unique advantages when paired with Accept Language Parser through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Accept Language Parser

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Accept Language Parser tools with BigQuery, Vertex AI, and Cloud Functions

Accept Language Parser + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Accept Language Parser MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Accept Language Parser and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Accept Language Parser tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Accept Language Parser regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Accept Language Parser

Example Prompts for Accept Language Parser in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Accept Language Parser immediately.

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

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

"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 Google ADK

Common issues when connecting Accept Language Parser to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Accept Language Parser + Google ADK FAQ

Common questions about integrating Accept Language Parser MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.