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com.ainetcafe/netcafe-tables
serveur MCP (Model Context Protocol) · netcafe-tables 1.5.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
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Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 15 outils
- clean_table≈ 448 tokens
Tidies a spreadsheet export: removes duplicate rows, trims whitespace (half-width and full-width — Chinese exports are full of ), unifies the half-dozen ways a cell can say "empty" (NA / null / - / 无), drops empty rows and columns, and can split one column into several. Returns the cleaned CSV plus exactly what changed: rows in, rows out, duplicates removed, cells trimmed per column. It can also transpose rows/columns and unpivot a wide table into a long one. The row arithmetic is verified in code — if in − removed ≠ out, the response says so instead of handing back a table nobody can check. Use when a CSV came out of Excel or an export and needs cleaning before analysis.
Paramètres, retour & exemple (6)
Paramètresops· string · optionnel
Comma-separated, default "dedupe,trim,drop_empty,unify_blank". Also available: split_column, transpose (swap rows/columns), wide_to_long (unpivot a wide table into the long format analysis tools expect).url· string · optionnel
Link to the CSV. Provide this or text.keep· string · optionnel
For wide_to_long: comma-separated id columns to keep as-is. Defaults to the first column.text· string · optionnel
The CSV content itself. Provide this or url.split_by· string · optionnel
Separator to split on, default a single space.split_column· string · optionnel
Column name to split (requires ops to include split_column).
Exemple d'appel{"name": "clean_table", "arguments": {"ops": "texte", "url": "texte", "keep": "texte", "text": "texte", "split_by": "texte", "split_column": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - csv_to_chart≈ 63 tokens
CSV (first column = labels, second = values) → chart PNG in one call.
Paramètres, retour & exemple (3)
Paramètrescsv· ? · optionnelurl· ? · optionneltype· ? · optionnel
Exemple d'appel{"name": "csv_to_chart", "arguments": {"csv": "texte", "url": "texte", "type": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - csv_to_json≈ 63 tokens
CSV (text or URL) → JSON array of objects (first row = keys). Returns a .json file.
Paramètres, retour & exemple (2)
Paramètrescsv· ? · optionnelurl· ? · optionnel
Exemple d'appel{"name": "csv_to_json", "arguments": {"csv": "texte", "url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - csv_to_md_table≈ 57 tokens
CSV (text or URL) → GitHub-flavoured Markdown table.
Paramètres, retour & exemple (2)
Paramètrescsv· ? · optionnelurl· ? · optionnel
Exemple d'appel{"name": "csv_to_md_table", "arguments": {"csv": "texte", "url": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - csv_to_qbo≈ 265 tokens
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.
Paramètres, retour & exemple (5)
Paramètrescsv· string · optionnel
CSV content with a header row.url· string · optionnel
Or a link to the CSV.bank_id· string · optionnel
Routing / bank identifier, if your import asks for one.currency· string · optionnel
Three-letter currency code, default USD.account_id· string · optionnel
Your account number as the accounting software expects it.
Exemple d'appel{"name": "csv_to_qbo", "arguments": {"csv": "texte", "url": "texte", "bank_id": "texte", "currency": "texte", "account_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - dedupe_entities≈ 174 tokens
Find records in a supplier/customer/store list that are probably the SAME entity under different names — "北京星辰科技有限公司" vs "星辰科技(北京)" — by cross-checking name similarity against hard identifiers: tax ID (统一社会信用代码, checksum-verified), phone, domain, bank account, address. It never merges anything: it returns candidate groups with the evidence for each link, pairs that need human review, and — just as
Paramètres, retour & exemple (10)
Paramètresurl· ? · optionnelbank· ? · optionnelname· ? · optionneltext· ? · optionnelphone· ? · optionnelsheet· ? · optionneldomain· ? · optionneltax_id· ? · optionneladdress· ? · optionnelname_threshold· ? · optionnel
Exemple d'appel{"name": "dedupe_entities", "arguments": {"url": "texte", "bank": "texte", "name": "texte", "text": "texte", "phone": "texte", "sheet": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - diff_tables≈ 280 tokens
Matches rows across two CSVs on a key column and reports three things: keys only in A, keys only in B, and keys in both whose other columns disagree — naming the exact column and both values. Unlike reconcile_ledger this needs no amount column, so it also fits name lists, inventory counts, permission tables, and any "these two exports should match" check.
Paramètres, retour & exemple (5)
Paramètreskey· string · requis
Column that identifies a row, e.g. id.url_a· string · optionnel
Link to the first CSV.url_b· string · optionnel
Link to the second CSV.text_a· string · optionnel
Or the first CSV content directly.text_b· string · optionnel
Or the second CSV content directly.
Exemple d'appel{"name": "diff_tables", "arguments": {"key": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - fix_csv_encoding≈ 171 tokens
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.
Paramètres, retour & exemple (2)
Paramètresurl· string · optionnel
Public URL of the CSV.text· string · optionnel
Or paste the CSV content directly.
Exemple d'appel{"name": "fix_csv_encoding", "arguments": {"url": "texte", "text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - json_to_csv≈ 60 tokens
JSON array of objects → CSV file. Flattens keys, quotes fields containing commas.
Paramètres, retour & exemple (1)
Paramètresjson· ? · optionnel
Exemple d'appel{"name": "json_to_csv", "arguments": {"json": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - match_transactions≈ 179 tokens
Match bank statement lines to ledger/invoice entries when there is NO shared key — by amount, date window, reference numbers found inside free-text descriptions, and fuzzy counterparty names ("北京XX科技" vs "XX科技(北京)"). Handles split payments (one invoice paid in instalments, 1:N) and combined payments (one transfer covering several invoices, N:1). Its rule is: never guess — a pair is only auto-match
Paramètres, retour & exemple (9)
Paramètresurl_a· ? · optionnelurl_b· ? · optionneltext_a· ? · optionneltext_b· ? · optionnelsheet_a· ? · optionnelsheet_b· ? · optionnelfee_tolerance· ? · optionnelmax_group_size· ? · optionneldate_window_days· ? · optionnel
Exemple d'appel{"name": "match_transactions", "arguments": {"url_a": "texte", "url_b": "texte", "text_a": "texte", "text_b": "texte", "sheet_a": "texte", "sheet_b": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - merge_tables≈ 248 tokens
Combines up to 20 CSVs into a single table. Headers do not have to match: columns are unioned and a file missing a column contributes blanks for it, so rows never shift silently — the failure mode that makes hand-merged spreadsheets untrustworthy. Reports each source file row count and checks in code that they sum to the merged total. Use for monthly exports, per-store sheets, or any set of files with the same subject but drifting headers.
Paramètres, retour & exemple (2)
Paramètresurls· string · optionnel
Comma-separated CSV links, at least two.texts· array · optionnel
Or pass the CSV contents directly as an array.
Exemple d'appel{"name": "merge_tables", "arguments": {"urls": "texte", "texts": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - read_xlsx≈ 156 tokens
Read an Excel .xlsx workbook (by URL) into rows — every sheet, or one you name. Returns cell values (not formula text), dates as YYYY-MM-DD instead of Excel serial numbers, and keeps leading zeros so ID/postcode columns are not silently mangled. Says plainly which sheet it used, which sheets are hidden, and where merged cells left blanks, instead of guessing for you.
Paramètres, retour & exemple (6)
Paramètresurl· ? · optionnelsheet· ? · optionnelinline· ? · optionnelmax_rows· ? · optionnelpreview_rows· number · optionnelkeep_formulas· ? · optionnel
Exemple d'appel{"name": "read_xlsx", "arguments": {"url": "texte", "sheet": "texte", "inline": "texte", "max_rows": "texte", "preview_rows": 1, "keep_formulas": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - reconcile_ledger≈ 401 tokens
Reconciles two sets of records — your books against a bank, platform, or supplier statement. Matches rows on a key column, compares an amount column, and returns three lists: only in A, only in B, and same key but different amount. Amounts are compared in integer cents, so 0.1 + 0.2 never invents a phantom difference for someone to chase. The response also proves the result: the listed differences are re-added and must equal the gap between the two totals, checked in code. Use for month-end close, platform payouts vs orders, or any "these two numbers should agree and do not" problem. This is the job people do by hand with VLOOKUP or a groupby and then cannot prove they got right.
Paramètres, retour & exemple (6)
Paramètreskey· string · requis
Column name to match rows on, e.g. order_id.url_a· string · optionnel
Link to side A (e.g. your books).url_b· string · optionnel
Link to side B (e.g. the statement).amount· string · requis
Numeric column to compare, e.g. amount.text_a· string · optionnel
Or the CSV content of side A directly.text_b· string · optionnel
Or the CSV content of side B directly.
Exemple d'appel{"name": "reconcile_ledger", "arguments": {"key": "texte", "amount": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - what_can_you_do≈ 248 tokens
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.
Paramètres, retour & exemple (1)
Paramètrestask· string · requis
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"
Exemple d'appel{"name": "what_can_you_do", "arguments": {"task": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - write_xlsx≈ 110 tokens
Build an Excel .xlsx file from rows (CSV text or JSON arrays), optionally several sheets at once. Numbers are written as real numbers so they sum in Excel, while values with leading zeros stay text so IDs and postcodes survive the round trip.
Paramètres, retour & exemple (4)
Paramètresurl· ? · optionneltext· ? · optionnelsheets· ? · optionnelsheet_name· ? · optionnel
Exemple d'appel{"name": "write_xlsx", "arguments": {"url": "texte", "text": "texte", "sheets": "texte", "sheet_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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