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Connect Accept Language Parser to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Determine user language preference based on HTTP standards.

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Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Accept Language Parser.

  1. 01

    Parse accept language

    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. This capability parses HTTP Accept-Language headers into an ordered list of user language preferences, essential for global routing and i18n agents. Never try to parse quality weights manually; let this MCP handle the RFC 7231 compliance.

Real work

What teams actually run

01

Building Multi-Region Websites

When a user hits your site, your agent uses this MCP to check the Accept-Language header and route them to the appropriate regional domain or content set.

02

Personalizing User Experiences

Your agent needs to know the user's preferred language for displaying UI elements, so it runs this MCP on the incoming request headers.

03

Optimizing Content Delivery

For large-scale content platforms, this MCP ensures that the content delivery network serves the highest-priority language first.

04

API Gateway Validation

If your API gateway handles global traffic, use this MCP to validate and standardize the language preference before passing the request downstream.

Automate a task

Put Accept Language Parser to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Accept Language Parser works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Accept Language Parser to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

999ms average. Fast in production.

Accept Language Parser is checked daily against the live service.

Daily averagePeak 1302ms
Oct 3Today
Fastest day
844ms
Slowest day
1302ms
14-day trend
Improving-19%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Accept Language Parser, so you can see the experience inside your AI.

It does not authenticate your account with Accept Language Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Accept Language Parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accept Language Parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accept-language-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Accept Language Parser in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Accept Language Parser owners hand off.

This MCP is built for engineers and developers who work on global-scale web applications. If your job involves routing users to the right localized content or setting up multi-language features, you need this capability. It gives your agent the reliable data it needs to handle internationalization correctly.

  • 01

    Backend Engineer

    Use this MCP to write deterministic logic that processes incoming HTTP headers before the request hits your main application logic.

  • 02

    DevOps Specialist

    Integrate this MCP into your global routing system to ensure traffic is directed to the correct regional endpoint.

  • 03

    Product Manager

    Specify this MCP as a requirement when designing new features that must support multiple languages and regions.

FAQ

Questions Accept Language Parser owners ask.

  • 01

    Is this MCP compliant with HTTP standards?

    Yes, it is. The MCP is built to be RFC 7231 compliant, meaning it follows the exact rules for parsing quality values (q-factors) specified by the HTTP standard. You don't have to worry about manual parsing errors.

  • 02

    What kind of input does the parse_accept_language capability need?

    The capability requires the raw header value, which is the full string from the Accept-Language header. For example, the input should look like "en-US,pt-BR;q=0.9,fr;q=0.8".

  • 03

    Does this only work for English language codes?

    No. It handles language codes globally. It parses any language tag and correctly applies the quality weights regardless of the language or region specified.

  • 04

    What is the difference between this and a simple comma split?

    A simple split ignores the quality weights (q-factors). This MCP correctly interprets those weights, giving you the true priority order of languages, which is critical for accurate global routing.

  • 05

    What is a quality weight (q-factor)?

    A value from 0 to 1 indicating preference. q=1 (default) is highest priority. q=0 means the language is explicitly not accepted.

  • 06

    Does it handle regional subtags?

    Yes. pt-BR is parsed as code=pt, region=BR. en-US as code=en, region=US. The region is separated from the language code automatically.

  • 07

    What if no quality value is specified?

    Languages without an explicit q-value default to q=1 (highest priority), following the HTTP specification.

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