mcpbeat

Language Detector API MCP Server

io.github.Br0ski777/language-detector
answering

Language Detector API is answering right now. Last checked 4 min ago. It exposes 1 tools. Last commit 19 Jul 2026.

Detect language from text via trigram analysis. 30+ languages, script detection. x402.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
35 ms
Response time
average over 24h
0
Stars
last commit 19 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 4 min ago.

run in your terminal
claude mcp add language-detector --transport http https://language-detector.api.klymax402.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "language-detector": {
      "url": "https://language-detector.api.klymax402.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.language-detector]
url = "https://language-detector.api.klymax402.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "language-detector": {
      "url": "https://language-detector.api.klymax402.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "language-detector": {
      "url": "https://language-detector.api.klymax402.com/mcp"
    }
  }
}

Available tools 1

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

text
text_detect_language
Use this when you need to identify what language a text is written in. Uses n-gram frequency analysis to detect 30+ languages with confidence scores. Returns top 3 language matches, script detection (Latin, Cyrillic, Arabic, CJK, Devanagari), and character statistics. Ideal for multilingual content routing, pre-translation detection, and content filtering. Do NOT use for translation — use text_translate. Do NOT use for sentiment — use text_analyze_sentiment.

Endpoints

URLTransportStateLatencyChecked
https://language-detector.api.klymax402.com/mcp sse answering 13 ms 4 min ago

Language Detector API — questions

Answers built from our own checks of this server.

What can Language Detector API do?
It exposes 1 tools, read directly from the server on our last check. Among them: text_detect_language. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Language Detector API working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 35 ms. The bar chart above shows every period we have measured.
How do I connect Language Detector API?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Language Detector API need an API key?
No. Language Detector API completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Language Detector API?
It answers our handshake in 35 ms on average, which is faster than 98% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Language Detector API open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.