Use accept-language-parser with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Determine user language preference based on HTTP standards.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete accept-language-parser capability set.
These are the exact actions your AI can choose when you ask it to work with accept-language-parser.
01
1 capability in this set.
Part of 1 available through accept-language-parser.
- 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.
Observed, not estimated
865ms average. Fast in production.
accept-language-parser is checked daily against the live service.
- Fastest day
- 832ms
- Slowest day
- 1111ms
- 14-day trend
- Improving-25%
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.
https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — accept-language-parser capabilities are ready to use.
{
"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
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.
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