- STRUCTURED
- ORDERED
- READY
- HUMAN
Short answer
How can I get a sorted list of languages from an Accept-Language header?
Your AI uses the parse_accept_language tool to turn a raw string into a structured list. It sorts the languages by their weight so you know exactly which ones the user prefers. You get a clean object ready for your localization logic.
The results.
Where your data lands.
The AI transforms raw text into structured data you can actually use in your code.
STRUCTURED
Clean language lists
The tool converts a single string into a list of language tags. You get a predictable format instead of a messy header.
ORDERED
Weighted priority
The AI respects the q-values in the header. It sorts the languages from most preferred to least preferred automatically.
READY
i18n integration
The output is formatted for immediate use in your internationalization logic. You can pass this directly to your routing or content delivery systems.
HUMAN
Manual overrides
If the header is missing or malformed, you decide the fallback language. The AI provides the data, but you set the final policy.
The workflow
What your AI does when the header arrives.
The AI acts as a translator between raw network data and your application logic.
Receive raw string
Your AI takes the raw Accept-Language string from your request or log file.
parse_accept_languageDeconstruct weights
The tool identifies each language tag and its associated quality value.
parse_accept_languageSort preferences
The AI organizes the languages based on the user's specific priority levels.
parse_accept_languageOutput structured data
The final result is a clean, sorted list that your application can read easily.
parse_accept_language
Try it
Copy these to start.
Use these prompts to kick off the parsing process.
Starting points
Replace the bracketed text with your actual header strings or file paths.
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"
}
}
}Parse this header for me: 'en-US,en;q=0.9,fr;q=0.8'
Take the Accept-Language string from my production logs and give me a sorted list.
Convert this header into a JSON object: 'da, en-gb;q=0.8, en;q=0.7'
Look at the language preferences in this request header and tell me the top three choices.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Accept Language Parser once, then ask.
Just click to connect. Your credentials stay encrypted, and you can start using the tool in your preferred AI client immediately.
Connect Accept Language Parser to your AIFAQ
How this task behaves.
- 01
Does the AI change the original header?
No. The AI only reads the header and provides a new, structured version of that data.
- 02
Can the AI automatically pick a language for my website?
No. The AI provides the sorted list of preferences, but you must write the logic that selects the final language based on that list.
- 03
What happens if the header is empty?
The tool will return an empty list or a null value, leaving you to apply your default fallback language.
- 04
Does it handle complex q-values?
Yes, the tool is designed to parse the weightings to ensure the order is correct.
- 05
Can I use this to modify HTTP requests?
No. This tool is for parsing and extracting information from existing strings, not for intercepting or altering live network traffic.
More questions about Accept Language Parser? The Connector page answers them. See everything the Accept Language Parser Connector can do
Connect Accept Language Parser to Claude, Cursor, ChatGPT & more
