netcafe-docs

{
  "id": "aix_33337bb360",
  "name": "netcafe-docs",
  "operator": "(unclaimed - source: registry-official · publisher: com.ainetcafe)",
  "description": "Statements, invoices, tables, ledgers — every result carries its own arithmetic proof.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-27",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "citation-check",
    "invoice-parsing",
    "pdf-to-json",
    "podcast-editing",
    "translation-qa",
    "voicemail-transcribe",
    "web-research"
  ],
  "protocols": {
    "mcp": "https://ainetcafe.com/mcp/docs?s=registry",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 4676,
    "uptime_30d": 0.9957264957264957,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 38,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-27T23:01:11.539Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://ainetcafe.com/mcp.html"
    },
    {
      "label": "repository",
      "url": "https://github.com/mario03690/ai-netcafe"
    }
  ],
  "avatar": "https://github.com/mario03690.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/mario03690"
    }
  ],
  "profile": {
    "mcp_server": "netcafe-docs",
    "mcp_version": "1.5.0",
    "tool_count": 23,
    "tools": [
      {
        "name": "what_can_you_do",
        "description": "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."
      },
      {
        "name": "redact_text",
        "description": "Strip emails, phone numbers, ID numbers, API keys, private keys, JWTs, card numbers and IPs out of text, returning the redacted text plus a mapping table to restore them afterwards. Rule-based only — no model sees the input. The same value always maps to the same placeholder, so the answer can be restored."
      },
      {
        "name": "csv_to_qbo",
        "description": "Convert a transaction CSV into a .qbo / OFX bank-feed file that QuickBooks and similar accounting software import directly. Needs date, description and amount columns (or debit + credit). Pairs with extract_statement: statement PDF in, importable bank feed out."
      },
      {
        "name": "check_resume",
        "description": "Check a resume (PDF or .docx) the way an applicant tracking system reads it: is the text extractable, are email/phone/sections findable, do multi-column layouts, tables or emoji break parsing. Returns a score plus concrete fixes ordered by impact — like the W3C validator, but for resumes."
      },
      {
        "name": "pdf_to_markdown",
        "description": "Convert a PDF (or a scanned page image) into clean Markdown that keeps headings, lists and tables, and puts multi-column pages in the right reading order. Text-layer PDFs are read exactly and cost far less; images go through a vision model."
      },
      {
        "name": "extract_tables",
        "description": "Extract tables from a PDF into structured rows (JSON + CSV). Pass fields to force a fixed set of columns — that aligns a pile of documents that each name their headers differently into one consistent table. Rows the model was unsure about are flagged rather than guessed. Text-layer PDFs only."
      },
      {
        "name": "extract_statement",
        "description": "Turn a bank statement or transaction PDF into a clean transaction table (JSON + CSV), then cross-check it: opening + credits - debits must equal the stated closing balance. If it does not balance you get the exact difference and which row the running balance first breaks at — so you know whether the table is safe to use for accounting. Text-layer PDFs only (scanned images not yet supported)."
      },
      {
        "name": "extract_invoices",
        "description": "Give it up to 20 invoice URLs (PDF or page images) and get back one table ready to post: number, date, seller, buyer, net / tax / gross, currency. Every row is checked in code — net + tax must equal gross — and the batch total is re-added independently, so a row the model misread is flagged with the exact difference instead of quietly landing in your books. Mixed currencies get no batch total on purpose: adding them together would be an accounting error. CSV is UTF-8 with BOM so Excel opens it right."
      },
      {
        "name": "pdf_add_page_numbers",
        "description": "Stamp page numbers or footer text onto every page of a PDF. Supports a starting number, roman numerals, skipping a cover page, position and font size — the combination Acrobat cannot do without scripting. Template supports {n} and {total}, e.g. \"Page {n} of {total}\"."
      },
      {
        "name": "fix_csv_encoding",
        "description": "Detect the real encoding of a CSV (GB18030, Shift-JIS, Windows-1252…), repair mojibake (UTF-8 that was read as Latin-1, e.g. \"é\"), and re-emit UTF-8 with a BOM so Excel opens it correctly."
      },
      {
        "name": "transcribe_audio",
        "description": "Fetch an audio file from a URL and transcribe it to text with open-source Whisper (100 languages, self-hosted). Good for voice memos, podcast clips and meeting recordings up to ~15 MB. Example — GET https://ainetcafe.com/t/transcribe_audio?url=<public-audio-url>"
      },
      {
        "name": "convert_to_pdf",
        "description": "Print-quality PDF from a URL or raw HTML via self-hosted Gotenberg (headless Chromium). Returns a hosted PDF download URL. Example — GET https://ainetcafe.com/t/convert_to_pdf?url=https://example.com"
      },
      {
        "name": "deep_research",
        "description": "Start an autonomous web research task. The agent plans sub-questions, searches the web, reads the sources and writes a report with citations — this is real research, not a single model call, and takes 2-5 minutes. Returns a job_id immediately; poll check_job to get the report. Use this when you need sourced, current information rather than what a model already knows. Powered by gpt-researcher (29k stars) hosted at AI NetCafé. Example — tools/call deep_research {\"topic\":\"State of MCP adoption in 2026?\"} → poll check_job"
      },
      {
        "name": "check_job",
        "description": "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>"
      },
      {
        "name": "translate_pdf",
        "description": "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"
      },
      {
        "name": "make_slides",
        "description": "Turn a topic or an outline into a real downloadable .pptx file — not a link into someone's web editor. Returns a job_id; poll check_job for the download URL. Usually 1-3 minutes. Powered by Presenton (open source) hosted at AI NetCafé. Example — tools/call make_slides {\"topic\":\"Q3 review\",\"slides\":8} → poll check_job"
      },
      {
        "name": "pdf_page_count",
        "description": "Count pages and report each page size of a PDF (by URL)."
      },
      {
        "name": "pdf_watermark",
        "description": "Stamp diagonal text watermark on every page of a PDF (by URL). text = the watermark."
      },
      {
        "name": "xlsx_to_pdf",
        "description": "Excel .xlsx (by URL) → PDF."
      },
      {
        "name": "pptx_to_pdf",
        "description": "PowerPoint .pptx (by URL) → PDF handout."
      },
      {
        "name": "webpage_to_docx",
        "description": "Any article URL → Word .docx (rendered page → clean document)."
      },
      {
        "name": "meeting_pack",
        "description": "会议录音 → 纪要包 PDF:转写、要点、决议、待办。纪要里点名的负责人会与转写原文比对 —— 把任务安排给一个从没在录音里出现过的人,报告会判不通过。入参 url(音频直链)。自证不通过不计费。"
      },
      {
        "name": "doc_translate_cn",
        "description": "文档翻译成中文,保留段落结构。逐段翻译并核对段落条数进出一致 —— 漏译最常见的形态就是整段消失,这里会当场发现。入参 url(文档链接)或 text,可选 target(默认 zh)。自证不通过不计费。"
      }
    ],
    "profiled_at": "2026-09-27T23:01:11.539Z"
  },
  "unreachable": false,
  "payment_method": "open"
}