netcafe-translate

Translation that never breaks structure: .srt timings, i18n key trees, PDF layout.

사용해야 할까요

품질 및 안전성

B
설명 품질
93%
스키마 완전성
97%
이름 품질
86%
오염 위험
20%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (7)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'translate_i18n_json' description contains placeholder texttranslate_i18n_json에서
  • MEDIUMTool description contains URL to non-standard domaintranslate_text에서
  • MEDIUMTool description contains URL to non-standard domaincheck_grammar에서
  • MEDIUMTool description contains URL to non-standard domaincheck_job에서
  • LOWTool 'translate_srt' description lacks action verbtranslate_srt에서
  • INFOTool description contains placeholder or incomplete texttranslate_i18n_json에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,504토큰 (도구 정의)
~1.1 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.18%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "netcafe-translate": {
      "url": "https://ainetcafe.com/mcp/translate?s=registry"
    }
  }
}

원격 엔드포인트

https://ainetcafe.com/mcp/translate?s=registrystreamable-http

할 수 있는 일

도구 목록

도구 (7)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢what_can_you_do(task)

Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the whole catalogue and guessing. Also returns multi-step recipes when a task needs several tools chained (invoices to a ledger, a bank statement reconciled, a messy CSV turned into a deliverable). Deterministic and free: it calls no model, costs nothing, and never runs out of quota. Call this FIRST when you are not sure what this server offers.

입력 스키마

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "description": "What you are trying to do, e.g. \"reconcile a bank statement against my books\" or \"把一堆发票整理成能入账的表格\""
    }
  },
  "required": [
    "task"
  ]
}

출력 스키마

{
  "type": "object",
  "additionalProperties": true
}
🟢translate_text(text, target, source)

Translate text between languages using a self-hosted LibreTranslate engine (fully offline, no big-tech API). For whole PDFs with layout preserved, use translate_pdf instead. Example — GET https://ainetcafe.com/t/translate_text?text=hello+world&to=zh

입력 스키마

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Text to translate (≤5000 chars)."
    },
    "target": {
      "type": "string",
      "description": "Target language code, e.g. \"zh\", \"en\", \"ja\"."
    },
    "source": {
      "type": "string",
      "description": "Source language code; default \"auto\"."
    }
  },
  "required": [
    "text",
    "target"
  ]
}

출력 스키마

{
  "type": "object",
  "additionalProperties": true
}
🟢translate_srt(srt, url, to)

Translate an .srt subtitle file into another language while keeping every timestamp and cue number byte-identical. Cues are anchored by index and refilled in code, so the timeline cannot drift — the usual failure mode when you hand a whole .srt to a model.

입력 스키마

{
  "type": "object",
  "properties": {
    "srt": {
      "type": "string",
      "description": "The .srt file content."
    },
    "url": {
      "type": "string",
      "description": "Or a link to the .srt file."
    },
    "to": {
      "type": "string",
      "description": "Target language, e.g. \"English\", \"日本語\"."
    }
  },
  "required": []
}

출력 스키마

{
  "type": "object",
  "additionalProperties": true
}
🟢translate_i18n_json(json, url, to, existing_json)

Translate an i18n JSON locale file, keeping the key structure identical and placeholders ({name}, {{count}}, %s, HTML tags) intact. Pass existing_json to translate only the keys that are missing from it — the incremental sync people usually hand-roll a script for.

입력 스키마

{
  "type": "object",
  "properties": {
    "json": {
      "type": "string",
      "description": "Source locale file content (JSON)."
    },
    "url": {
      "type": "string",
      "description": "Or a link to the source JSON."
    },
    "to": {
      "type": "string",
      "description": "Target language."
    },
    "existing_json": {
      "type": "string",
      "description": "Existing target locale; only missing keys get translated."
    }
  },
  "required": []
}

출력 스키마

{
  "type": "object",
  "additionalProperties": true
}
🟢check_grammar(text, language)

Check text for grammar, spelling and style issues in 30+ languages (self-hosted LanguageTool). Returns each issue with a suggested replacement — apply them to produce corrected text. Example — GET https://ainetcafe.com/t/check_grammar?text=Their+going+to+the+park

입력 스키마

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "The text to check (≤10000 chars)."
    },
    "language": {
      "type": "string",
      "description": "Language code like \"en-US\", \"zh-CN\"; default \"auto\"."
    }
  },
  "required": [
    "text"
  ]
}

출력 스키마

{
  "type": "object",
  "additionalProperties": true
}
🟢check_job(job_id)

Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>

입력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The job_id returned when the task was started."
    }
  },
  "required": [
    "job_id"
  ]
}

출력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "type": "string"
    },
    "kind": {
      "type": "string"
    },
    "status": {
      "type": "string"
    },
    "is_terminal": {
      "type": "boolean"
    },
    "retry_after_seconds": {
      "type": "integer"
    },
    "next_action": {
      "type": [
        "object",
        "null"
      ]
    },
    "result": {},
    "structured_result": {},
    "error": {
      "type": "string"
    }
  },
  "required": [
    "job_id",
    "status"
  ]
}
🟢translate_pdf(url, lang_to, pages)

Translate a PDF from a URL while preserving the original layout — formulas, figures and two-column academic typesetting stay intact, unlike ordinary translators that flatten the document. Returns a job_id; poll check_job for the download links (translated-only and bilingual side-by-side). Typically 20-60 seconds for a few pages. Powered by PDFMathTranslate (36k stars) hosted at AI NetCafé. Example — tools/call translate_pdf {"url":"<pdf-url>","target":"zh"} → poll check_job

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Direct URL to the PDF (e.g. an arXiv PDF link)."
    },
    "lang_to": {
      "type": "string",
      "description": "Target language, e.g. \"Simplified Chinese\", \"Japanese\". Default Simplified Chinese."
    },
    "pages": {
      "type": "string",
      "enum": [
        "first",
        "first5",
        "all"
      ],
      "description": "How much to translate. first = 1 page, first5 = first 5 pages (default), all = whole document (slow and expensive)."
    }
  },
  "required": [
    "url"
  ]
}

출력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "type": "string"
    },
    "status": {
      "type": "string"
    },
    "poll_interval_seconds": {
      "type": "integer"
    }
  },
  "required": [
    "job_id",
    "status"
  ]
}

커뮤니티

이 서버 평가하기

증거

최근 관측

검증됨버전이 기록되지 않음도구 7개
검증됨버전이 기록되지 않음도구 7개