mcp server
Language Detector API
Detect language from text via trigram analysis. 30+ languages, script detection. x402.
Description as published by the maintainer. Source
- version 1.1.0
- active
active — Most recent push to the repository was 2026-07-19.
What this server can do
1 function, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
text_detect_language(text)- 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. Required: text.
Last successful function declaration observed on . Source: https://language-detector.api.klymax402.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://language-detector.api.klymax402.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-19 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-05-16 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-05-16 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 1 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | language-detector.api.klymax402.com | |
| mcp endpoint status | ok | The server listed 1 function when asked. | as of probe | language-detector.api.klymax402.com |
Where to get it
Related, by what their authors tagged them
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These share tags the maintainers applied themselves, such as nlp, translation, x402. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
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How the author describes it
Topics the maintainer set on GitHub: ai-agents, mcp, mcp-server, nlp, translation, x402.
This record as data
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