accept-language-parser Connector for AI agents.
1 live capability
Route users to the correct localized content based on browser headers.
Waiting for input…
Why people use accept-language-parser
Accept Language Parser for Global Web Localization
This Connector takes that raw string and does the work in one go. It follows the standard perfectly so you can just grab the top result and serve the right content. You get a reliable way to handle global users without the manual labor.
What Vinkius changes
Your agent gets a clean, prioritized list of languages instead of a messy header string.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Global Routing
A user hits a landing page; the agent parses the header to send them to the correct regional server instantly.
- Real-world use case 02
Dynamic Content Loading
A web app needs to know which translation file to fetch first based on browser settings for a seamless experience.
- Real-world use case 03
Multi-tenant Localization
An enterprise capability serves 50 countries and needs to prioritize languages accurately for each individual user.
Complete set · 1capability
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 Capability
Parse accept language
Converts a raw header string into a sorted list of languages with their respective quality weights.
Set up in minutes
One URL. Then ask accept-language-parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use accept-language-parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it accept-language-parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable accept-language-parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the accept-language-parser URL.
- Step 03
Save and start
Save the connection and enable accept-language-parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"accept-language-parser": {
"url": "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using accept-language-parser
Open Agent mode in chat and ask: "Using accept-language-parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"accept-language-parser": {
"url": "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using accept-language-parser
Ask Copilot: "Using accept-language-parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"accept-language-parser": {
"url": "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using accept-language-parser
Open Cascade and ask: "Using accept-language-parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"accept-language-parser": {
"url": "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using accept-language-parser
Ask Cline: "Using accept-language-parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add accept-language-parser --transport http "https://edge.vinkius.com/vk_preview_GefvSpcYnjkW02BvoNUlHjU2kd5JY1rRrk73aseR/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using accept-language-parser
Ask Claude: "Using accept-language-parser, show me...". 1 tools are ready
Where the request belongs
Work accept-language-parser can move forward.
This is for developers and engineers who need to handle global traffic. It solves the headache of manual string parsing for internationalization.
Backend Engineer
They use this to ensure their API correctly identifies user language preferences from browser headers without writing custom regex.
Localization Specialist
They use it to verify that multi-language support works correctly across different regions and weight priorities.
DevOps Engineer
They use it to build global load balancers that route traffic based on language headers.
Product Manager
They use it to ensure the app feels native to every user by automating the correct content delivery.
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User-Agent Parser
Decode raw HTTP User-Agent strings instantly. Extract structured Browser, OS, and Device data for accurate IT log analysis.
Bring your own AI
Change the model, client or framework. Keep accept-language-parser connected.
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Claude -
ChatGPT -
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Cursor -
VS Code -
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Before you connect
Questions about accept-language-parser.
The practical details behind the request, access and result.
Can the Accept Language Parser handle multiple languages?
Yes, it identifies every language in the header and sorts them by weight so you can see the full list of user preferences.
Does it support standard web weights?
Yes, it's fully compliant with RFC 7231 for q-factors, ensuring it works correctly with all modern browsers.
How do I use Accept Language Parser for my website?
You just pass the browser's header string to the capability to get a sorted list of preferences, which you can then use to load the correct content.
Will it work for all regions?
It parses the standard language codes used by almost all modern browsers and operating systems globally.
What happens if there are no weights?
If the header has no weights, the capability defaults to the order provided in the string while still keeping the output clean and uniform.
Is it faster than writing my own code?
Yes, it's a deterministic parser that handles all the standard edge cases instantly, saving you the time of writing and testing your own logic.
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.
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.
What if no quality value is specified?
Languages without an explicit q-value default to q=1 (highest priority), following the HTTP specification.
One connection away
Give your agent a direct line to accept-language-parser.
Connect accept-language-parser once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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