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netcafe-docs

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데이터 및 분석 생산성 검색 및 리서치 공개 · 연결 가능 MCP 2026-07-28

이 MCP로 할 수 있는 일

Extracts and validates data from PDFs, invoices, bank statements, tables, and CSVs; also supports web research, document conversion, translation, transcription, and slide generation.

check_job

Check a long-running job

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>

읽기 전용 멱등성

입력 스키마

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

출력 스키마

{'type': 'object', 'required': ['job_id', 'status'], 'properties': {'kind': {'type': 'string'}, 'error': {'type': 'string'}, 'job_id': {'type': 'string'}, 'result': {}, 'status': {'type': 'string'}, 'is_terminal': {'type': 'boolean'}, 'next_action': {'type': ['object', 'null']}, 'structured_result': {}, 'retry_after_seconds': {'type': 'integer'}}}

check_resume

Can an ATS parse this resume?

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the resume (PDF or .docx).'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

convert_to_pdf

Convert a web page or HTML to PDF

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

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'properties': {'url': {'type': 'string', 'description': 'Page URL to convert (either url or html is required).'}, 'html': {'type': 'string', 'description': 'Raw HTML to convert (alternative to url).'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

csv_to_qbo

Transaction CSV → QuickBooks .qbo bank feed file

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': [], 'properties': {'csv': {'type': 'string', 'description': 'CSV content with a header row.'}, 'url': {'type': 'string', 'description': 'Or a link to the CSV.'}, 'bank_id': {'type': 'string', 'description': 'Routing / bank identifier, if your import asks for one.'}, 'currency': {'type': 'string', 'description': 'Three-letter currency code, default USD.'}, 'account_id': {'type': 'string', 'description': 'Your account number as the accounting software expects it.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

deep_research

Run an autonomous research agent

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

입력 스키마

{'type': 'object', 'required': ['topic'], 'properties': {'depth': {'enum': ['quick', 'standard'], 'type': 'string', 'description': 'quick = outline only (~1 min); standard = full cited report (~3 min). Default standard.'}, 'topic': {'type': 'string', 'description': 'The research question. Phrase it as a question, not a keyword.'}}}

출력 스키마

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

doc_translate_cn

doc translate cn

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。

입력 스키마

{'type': 'object', 'properties': {'url': {}, 'text': {'type': 'string'}, 'target': {'type': 'string'}}, 'additionalProperties': True}

extract_invoices

A batch of invoices → one ledger-ready table (arithmetic-checked)

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['urls'], 'properties': {'urls': {'type': 'string', 'description': 'Invoice URLs — comma-separated, or pass an array. Up to 20 per call.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

extract_statement

Bank statement PDF → transactions + reconciliation check

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).

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the statement PDF.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

extract_tables

PDF tables → structured rows (with schema alignment)

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the PDF.'}, 'fields': {'type': 'string', 'description': 'Optional comma-separated target columns, e.g. "invoice_no,supplier,date,amount". Omit to infer from the header.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

fix_csv_encoding

Fix a CSV that opens garbled in Excel

Detect the real encoding of a CSV (GB18030, Shift-JIS, Windows-1252…), repair mojibake (UTF-8 that was read as Latin-1, e.g. "Ã©"), and re-emit UTF-8 with a BOM so Excel opens it correctly.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': [], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the CSV.'}, 'text': {'type': 'string', 'description': 'Or paste the CSV content directly.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

make_slides

Generate a PowerPoint deck

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

입력 스키마

{'type': 'object', 'required': ['topic'], 'properties': {'topic': {'type': 'string', 'description': 'The topic, or a full outline to follow.'}, 'slides': {'type': 'integer', 'description': 'Number of slides (default 8).'}, 'language': {'type': 'string', 'description': 'Output language, e.g. "Chinese", "English". Default Chinese.'}, 'instructions': {'type': 'string', 'description': 'Optional extra guidance on style or emphasis.'}}}

출력 스키마

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

meeting_pack

meeting pack

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。

입력 스키마

{'type': 'object', 'properties': {'url': {'type': 'string'}, 'audio': {}}, 'additionalProperties': True}

pdf_add_page_numbers

Add page numbers to a PDF

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}".

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the PDF.'}, 'text': {'type': 'string', 'description': 'Template, default "{n}". Use {n} and {total}.'}, 'style': {'type': 'string', 'description': 'arabic (default) | roman (i, ii, iii) | ROMAN (I, II, III)'}, 'position': {'type': 'string', 'description': 'bottom-center (default) | bottom-left | bottom-right | top-center | top-left | top-right'}, 'start_at': {'type': 'integer', 'description': 'Number to start from (default 1).'}, 'font_size': {'type': 'integer', 'description': 'Font size, default 10.'}, 'skip_first': {'type': 'integer', 'description': 'Leave this many leading pages unnumbered, e.g. 1 for a cover.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

pdf_page_count

pdf page count

Count pages and report each page size of a PDF (by URL).

입력 스키마

{'type': 'object', 'properties': {'url': {}}, 'additionalProperties': True}

pdf_to_markdown

PDF or scanned page → structured Markdown

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the PDF, or of a page image (png/jpg) for scanned documents.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

pdf_watermark

pdf watermark

Stamp diagonal text watermark on every page of a PDF (by URL). text = the watermark.

입력 스키마

{'type': 'object', 'properties': {'url': {}, 'text': {'type': 'string'}}, 'additionalProperties': True}

pptx_to_pdf

pptx to pdf

PowerPoint .pptx (by URL) → PDF handout.

입력 스키마

{'type': 'object', 'properties': {'url': {}}, 'additionalProperties': True}

redact_text

Redact secrets and PII before sending text on

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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['text'], 'properties': {'only': {'type': 'string', 'description': 'Optional comma-separated subset, e.g. "EMAIL,API_KEY,PRIVATE_KEY".'}, 'text': {'type': 'string', 'description': 'The text to redact.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

transcribe_audio

Transcribe audio to text

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>

입력 스키마

{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the audio file (mp3/wav/m4a/ogg, ≤15 MB).'}, 'language': {'type': 'string', 'description': 'Hint language code like "zh", "en"; default auto-detect.'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

translate_pdf

Translate a PDF keeping its layout

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

출력 스키마

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

webpage_to_docx

webpage to docx

Any article URL → Word .docx (rendered page → clean document).

입력 스키마

{'type': 'object', 'properties': {'url': {}}, 'additionalProperties': True}

what_can_you_do

Find the right tool for a 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.

읽기 전용 멱등성

입력 스키마

{'type': 'object', 'required': ['task'], '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"'}}}

출력 스키마

{'type': 'object', 'additionalProperties': True}

xlsx_to_pdf

xlsx to pdf

Excel .xlsx (by URL) → PDF.

입력 스키마

{'type': 'object', 'properties': {'url': {}}, 'additionalProperties': True}

추가됨

                            doc_translate_cn
                        

2026년 9월 17일 12:33 PM

추가됨

                            meeting_pack
                        

2026년 9월 17일 12:33 PM

추가됨

                            webpage_to_docx
                        

2026년 9월 17일 12:33 PM

추가됨

                            pptx_to_pdf
                        

2026년 9월 17일 12:33 PM

추가됨

                            xlsx_to_pdf
                        

2026년 9월 17일 12:33 PM

추가됨

                            pdf_watermark
                        

2026년 9월 17일 12:33 PM

추가됨

                            pdf_page_count
                        

2026년 9월 17일 12:33 PM

추가됨

                            make_slides
                        

2026년 9월 17일 12:33 PM

추가됨

                            translate_pdf
                        

2026년 9월 17일 12:33 PM

추가됨

                            check_job
                        

2026년 9월 17일 12:33 PM

추가됨

                            deep_research
                        

2026년 9월 17일 12:33 PM

추가됨

                            convert_to_pdf
                        

2026년 9월 17일 12:33 PM

추가됨

                            transcribe_audio
                        

2026년 9월 17일 12:33 PM

추가됨

                            fix_csv_encoding
                        

2026년 9월 17일 12:33 PM

추가됨

                            pdf_add_page_numbers
                        

2026년 9월 17일 12:33 PM

추가됨

                            extract_invoices
                        

2026년 9월 17일 12:33 PM

추가됨

                            extract_statement
                        

2026년 9월 17일 12:33 PM

추가됨

                            extract_tables
                        

2026년 9월 17일 12:33 PM

추가됨

                            pdf_to_markdown
                        

2026년 9월 17일 12:33 PM

추가됨

                            check_resume
                        

2026년 9월 17일 12:33 PM

추가됨

                            csv_to_qbo
                        

2026년 9월 17일 12:33 PM

추가됨

                            redact_text
                        

2026년 9월 17일 12:33 PM

추가됨

                            what_can_you_do
                        

2026년 9월 17일 12:33 PM

서버 정보

버전

1.1.0

전송 방식

Streamable HTTP

도구

지연 시간

1037 ms

마지막 스캔

2026년 10월 1일 2:52 AM

최초 확인

2026년 9월 11일 3:28 PM

엔드포인트

https://ainetcafe.com/mcp/docs?s=registry

최근 스캔

성공

2026년 10월 1일 2:52 AM

성공

2026년 9월 29일 3:01 AM

성공

2026년 9월 27일 2:52 AM

성공

2026년 9월 25일 3:01 AM

성공

2026년 9월 23일 2:52 AM

성공

2026년 9월 21일 2:59 AM

성공

2026년 9월 19일 2:50 AM

성공

2026년 9월 17일 12:58 PM

성공

2026년 9월 17일 12:33 PM

netcafe-docs

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