MCP Server
netcafe-docs
com.ainetcafe/netcafe-docs
What this MCP does
Extracts and validates data from PDFs, invoices, bank statements, tables, and CSVs; also supports web research, document conversion, translation, transcription, and slide generation.
Capabilities
Tools
23
tools
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>
Read only
Idempotent
Input schema
{'type': 'object', 'required': ['job_id'], 'properties': {'job_id': {'type': 'string', 'description': 'The job_id returned when the task was started.'}}}
Output schema
{'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.
Read only
Idempotent
Input schema
{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the resume (PDF or .docx).'}}}
Output schema
{'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
Read only
Idempotent
Input schema
{'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).'}}}
Output schema
{'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.
Read only
Idempotent
Input schema
{'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.'}}}
Output schema
{'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
Input schema
{'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.'}}}
Output schema
{'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。
Input schema
{'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.
Read only
Idempotent
Input schema
{'type': 'object', 'required': ['urls'], 'properties': {'urls': {'type': 'string', 'description': 'Invoice URLs — comma-separated, or pass an array. Up to 20 per call.'}}}
Output schema
{'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).
Read only
Idempotent
Input schema
{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the statement PDF.'}}}
Output schema
{'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.
Read only
Idempotent
Input schema
{'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.'}}}
Output schema
{'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. "é"), and re-emit UTF-8 with a BOM so Excel opens it correctly.
Read only
Idempotent
Input schema
{'type': 'object', 'required': [], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the CSV.'}, 'text': {'type': 'string', 'description': 'Or paste the CSV content directly.'}}}
Output schema
{'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
Input schema
{'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.'}}}
Output schema
{'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。
Input schema
{'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}".
Read only
Idempotent
Input schema
{'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.'}}}
Output schema
{'type': 'object', 'additionalProperties': True}
pdf_page_count
pdf page count
Count pages and report each page size of a PDF (by URL).
Input schema
{'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.
Read only
Idempotent
Input schema
{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'description': 'Public URL of the PDF, or of a page image (png/jpg) for scanned documents.'}}}
Output schema
{'type': 'object', 'additionalProperties': True}
pdf_watermark
pdf watermark
Stamp diagonal text watermark on every page of a PDF (by URL). text = the watermark.
Input schema
{'type': 'object', 'properties': {'url': {}, 'text': {'type': 'string'}}, 'additionalProperties': True}
pptx_to_pdf
pptx to pdf
PowerPoint .pptx (by URL) → PDF handout.
Input schema
{'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.
Read only
Idempotent
Input schema
{'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.'}}}
Output schema
{'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>
Input schema
{'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.'}}}
Output schema
{'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
Input schema
{'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.'}}}
Output schema
{'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).
Input schema
{'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.
Read only
Idempotent
Input schema
{'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"'}}}
Output schema
{'type': 'object', 'additionalProperties': True}
xlsx_to_pdf
xlsx to pdf
Excel .xlsx (by URL) → PDF.
Input schema
{'type': 'object', 'properties': {'url': {}}, 'additionalProperties': True}
History
Recent tool changes
Added
doc_translate_cn
Sept. 17, 2026, 12:33 p.m.
Added
meeting_pack
Sept. 17, 2026, 12:33 p.m.
Added
webpage_to_docx
Sept. 17, 2026, 12:33 p.m.
Added
pptx_to_pdf
Sept. 17, 2026, 12:33 p.m.
Added
xlsx_to_pdf
Sept. 17, 2026, 12:33 p.m.
Added
pdf_watermark
Sept. 17, 2026, 12:33 p.m.
Added
pdf_page_count
Sept. 17, 2026, 12:33 p.m.
Added
make_slides
Sept. 17, 2026, 12:33 p.m.
Added
translate_pdf
Sept. 17, 2026, 12:33 p.m.
Added
check_job
Sept. 17, 2026, 12:33 p.m.
Added
deep_research
Sept. 17, 2026, 12:33 p.m.
Added
convert_to_pdf
Sept. 17, 2026, 12:33 p.m.
Added
transcribe_audio
Sept. 17, 2026, 12:33 p.m.
Added
fix_csv_encoding
Sept. 17, 2026, 12:33 p.m.
Added
pdf_add_page_numbers
Sept. 17, 2026, 12:33 p.m.
Added
extract_invoices
Sept. 17, 2026, 12:33 p.m.
Added
extract_statement
Sept. 17, 2026, 12:33 p.m.
Added
extract_tables
Sept. 17, 2026, 12:33 p.m.
Added
pdf_to_markdown
Sept. 17, 2026, 12:33 p.m.
Added
check_resume
Sept. 17, 2026, 12:33 p.m.
Added
csv_to_qbo
Sept. 17, 2026, 12:33 p.m.
Added
redact_text
Sept. 17, 2026, 12:33 p.m.
Added
what_can_you_do
Sept. 17, 2026, 12:33 p.m.
Discover
Similar MCP servers
Timeapi Io
io.github.pipeworx-io/timeapi-io
Provides timezone and date utilities, along with routed access to structured research and data sources.
LiveDataLink
io.github.blackboxfoundry/livedatalink
Exposes public-data tools covering economics, labor, banking, transport, books, legal opinions, carriers, environmental data, and…
Stratalize Healthcare
com.stratalize/healthcare
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Governance
com.stratalize/governance
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Oracle
com.stratalize/oracle
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Real Estate
com.stratalize/realestate
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
Stratalize Crypto & DeFi
com.stratalize/crypto
Retired Stratalize server exposing benchmark, market intelligence, compliance, financial, healthcare, legal, real estate, and eco…
mu
mu.micro/mu
Supports personal and collaborative tasks including web browsing, app creation, blogs, bookmarks, discussions, and contact manage…