mcpbeat

Latin MCP Server

com.valksor/latin
answering

Latin is answering right now. Last checked 2 min ago. It exposes 3 tools.

Grounds LLMs in real Latin: Wiktionary lemmas, Morpheus inflections, citations.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
92 of 92 checks
3
Tools
read from the server
196 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

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

Available tools 3

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

latin
latin_get_inflections
Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
latin_lemmatize
Analyze one inflected Latin form with the Morpheus morphological analyzer: its lemma(s) plus the grammatical reading (person, number, tense, mood, voice, case…). Useful when you want the morphology itself — for the dictionary entry, latin_search already resolves inflected queries on its own. Returns Markdown plus the analysis as structuredContent matching the declared outputSchema. Results are cached server-side. Analyses via the Perseids Morpheus service.
latin_search
Look a Latin word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content, not invented. Any form of the word works; an inflected query is resolved to its lemma automatically (via previously cached paradigms or the Morpheus analyzer) and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Latin equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).

Endpoints

URLTransportStateLatencyChecked
https://latin.valksor.com/mcp streamable-http answering 157 ms 2 min ago

Latin — questions

Answers built from our own checks of this server.

What can Latin do?
It exposes 3 tools, read directly from the server on our last check. Among them: latin_get_inflections, latin_lemmatize, latin_search. 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 Latin working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 196 ms. The bar chart above shows every period we have measured.
How do I connect Latin?
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 Latin need an API key?
No. Latin completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 3 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Latin?
It answers our handshake in 196 ms on average, which is faster than 64% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.