_ registry / mcp http-sse · checked 1h ago

latin

https://latin.valksor.com

Registry code: 3ff7cb722aed9761

api record

Grounds you in real Latin lexicography so you read and write Latin with attested words and correct inflected forms. Dictionary content comes from the English Wiktionary's Latin entries; morphology from the Morpheus analyzer. Primary flow: call latin_search(word) — any form of the word works (an inflected query resolves to its lemma automatically — the result's resolved_lemma names it), and by default each match's full inflection table is returned inline, so a single call is usually enough. For English→Latin, call latin_search(word, search_language='eng') — the result lists each sense's Latin…

endpoint
https://latin.valksor.com/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is latin live?
Yes — it answered the hub's last check (checked 1h ago). It answered 99% of checks over the last 30 days.
Is latin free to use?
Yes — the hub reached it with no key and no payment.
What tools does latin have?
3 tools: latin_get_inflections, latin_lemmatize, latin_search.
Is latin safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.3%

90 days 99.1%· all time 99.1%

latency
205ms

last good check

priced tools
0

of 3 tools

_ answered our checks, 90 days 462 checks · signed record
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
  • live → degraded· HTTP 502
  • degraded → live
_ what it is for
used for
  • look up a latin word and its senses
  • get declension or conjugation tables
  • identify the lemma of an inflected latin form
  • translate an english word into latin
takes → gives
text → data
tools
3 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

inferred, not observed

Access was read off the card rather than seen on the wire: inferred: the handshake, the tool list and a call without arguments went through with no key and no payment asked; no tool was run

_ what it can do 3 tools
3 never probed 0 of 3 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • latin_get_inflections reads unknown 6h ago

    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).

    mcp-tool

    {
      "type": "object",
      "title": "latin_get_inflectionsArguments",
      "required": [
        "entry_id",
        "word_class"
      ],
      "properties": {
        "entry_id": {
          "type": "string",
          "title": "Entry Id",
          "pattern": "^[A-Za-zĀāĒēĪīŌōŪūȲȳÄäÖöËë\\-']{1,80}$",
          "maxLength": 80,
          "minLength": 1,
          "description": "The Wiktionary page title (the lemma) from a search result's inflection handle, e.g. 'amo', 'aqua'."
        },
        "word_class": {
          "enum": [
            "abbreviation",
            "acronym",
            "adjective",
            "adverb",
            "affix",
            "article",
            "character",
            "circumfix",
            "classifier",
            "combining form",
            "conjunction",
            "contraction",
            "counter",
            "determiner",
            "diacritical mark",
            "idiom",
            "infix",
            "initialism",
            "interfix",
            "interjection",
            "letter",
            "ligature",
            "noun",
            "number",
            "numeral",
            "participle",
            "particle",
            "phrase",
            "postposition",
            "prefix",
            "preposition",
            "prepositional phrase",
            "pronoun",
            "proper noun",
            "proverb",
            "punctuation mark",
            "romanization",
            "root",
            "suffix",
            "symbol",
            "verb"
          ],
          "type": "string",
          "title": "Word Class",
          "description": "The part-of-speech section from a search result's inflection handle, e.g. 'verb', 'noun', 'adjective'."
        }
      }
    }
    arguments 66 lines
  • latin_lemmatize reads unknown 6h ago

    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.

    mcp-tool

    {
      "type": "object",
      "title": "latin_lemmatizeArguments",
      "required": [
        "word"
      ],
      "properties": {
        "word": {
          "type": "string",
          "title": "Word",
          "pattern": "^[A-Za-zĀāĒēĪīŌōŪūȲȳÄäÖöËë\\-']{1,80}$",
          "maxLength": 80,
          "minLength": 1,
          "description": "One inflected Latin word form to analyze, e.g. 'amavit', 'aquam'. Macrons optional."
        }
      }
    }
    arguments 17 lines
  • latin_search reads unknown 6h ago

    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).

    mcp-tool

    {
      "type": "object",
      "$defs": {
        "SearchLanguage": {
          "enum": [
            "lat",
            "eng"
          ],
          "type": "string",
          "title": "SearchLanguage",
          "description": "The query language. ``lat`` looks a Latin word up directly (any of its forms —\nan inflected query resolves via the form index or Morpheus). ``eng`` searches in\nreverse: the English Wiktionary page for the query word lists per-sense Latin\ntranslations, and each distinct Latin lemma is then looked up normally."
        }
      },
      "title": "latin_searchArguments",
      "required": [
        "query"
      ],
      "properties": {
        "query": {
          "type": "string",
          "title": "Query",
          "maxLength": 80,
          "minLength": 1,
          "description": "The word to look up, in the language search_language names. Latin (default): a SINGLE word, any form — an inflected form ('amavit') is resolved to its lemma ('amo') automatically, and the result names it (search_method tells you how; resolved_lemma is the lemma to follow for the full paradigm); macrons are optional ('amo' and 'amō' both work). English (search_language='eng'): the English word whose Latin equivalents you want — multiword entries like 'give up' work."
        },
        "max_forms": {
          "anyOf": [
            {
              "type": "integer",
              "maximum": 12,
              "minimum": 0
            },
            {
              "type": "null"
            }
          ],
          "title": "Max Forms",
          "default": null,
          "description": "Optional override for how many inflection tables to expand this call (0–12). On an uncached query each table is one politely paced upstream fetch, so high values on cold queries are slow. Omit for the server default."
        },
        "include_forms": {
          "type": "boolean",
          "title": "Include Forms",
          "default": true,
          "description": "When true (default), each match's full declension/conjugation table is returned INLINE — usable cases/tenses in ONE call, no follow-up latin_get_inflections. Set false for a cheap screen of which entries exist. Bounded by a per-search cap — use max_forms to adjust per call. For eng queries this governs the expanded Latin entries; the per-sense translations list itself is always returned."
        },
        "search_language": {
          "$ref": "#/$defs/SearchLanguage",
          "default": "lat",
          "description": "Language the query word is in: 'lat' (default) looks the Latin word up directly; 'eng' finds the Latin equivalents of an English word (per-sense, from Wiktionary's translation tables) and returns their full entries. Glosses are in English either way."
        }
      }
    }
    arguments 53 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

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Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
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  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 3ff7cb722aed9761.

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_ for your README measured, not declared

measured by brick.blue

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The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
70%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.

_ also on valksor.com 6 entries

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.