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Accept Language Parser

Accept Language Parser MCP Server with 1 Tools for Claude, Cursor, and AI Agents

MCP Inspector GDPR Free for Subscribers

Parse HTTP Accept-Language headers into priority-ordered language preferences with quality weights. Vinkius routes your AI agents directly to Accept Language Parser through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.

Built for AI Agents by Vinkius

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AI AgentVinkius
High Security·Kill Switch·Plug and Play
Accept Language Parser
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the accept-language-parser MCP Server?

The accept-language-parser MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to accept-language-parser via 1 tools. Parse HTTP Accept-Language headers into priority-ordered language preferences with quality weights. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.

Built-in capabilities (1)

parse_accept_language

Tools for your AI Agents to operate accept-language-parser

Ask your AI agent "Parse this Accept-Language header: en-US,pt-BR;q=0.9,fr;q=0.8" and get the answer without opening a single dashboard. With 1 tools connected to real accept-language-parser data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.

Build your own MCP Server with our secure development framework →

The Accept Language Parser App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 1 Accept Language Parser tools with your AI agents right now

Vinkius routes your AI agents to Accept Language Parser through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.

Explore Tools Hub
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

What the Accept Language Parser MCP Server unlocks

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.

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.

Frequently asked questions about the Accept Language Parser MCP Server

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.

Vinkius AI Gateway

We built the connector to Accept Language Parser. Now put your agents to work. Fully governed.

Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.

How it works
Infrastructure

Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.

Visibility

Every tool call, every token, every response. Logged and auditable. Data flows direct from Accept Language Parser to your agent. Nothing is stored on our side. Ever.

Control

Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.