netcafe-tables

com.ainetcafe/netcafe-tablesVersion 1.0.0

Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.

Status

Responds870 msNov 14, 2026, 13:53 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:53 UTC
Latency: 870 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://ainetcafe.com/mcp/table?s=registryResponds870 msNov 14, 2026, 13:53 UTC

No sign-in

Claude Code

claude mcp add --transport http netcafe-tables 'https://ainetcafe.com/mcp/table?s=registry'

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: netcafe-tables
Remote MCP server URL: https://ainetcafe.com/mcp/table?s=registry

Cursor

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

VS Code

code --add-mcp '{"name":"netcafe-tables","type":"http","url":"https://ainetcafe.com/mcp/table?s=registry"}'

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Tools

15 tools

Tools of netcafe-tables
	Description		Read-only	Idempotent	Open world
`clean_table`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.	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.	No	Yes	Yes	No
`csv_to_chart`CSV (first column = labels, second = values) → chart PNG in one call.	CSV (first column = labels, second = values) → chart PNG in one call.	Not declared	Not declared	Not declared	Not declared
`csv_to_json`CSV (text or URL) → JSON array of objects (first row = keys). Returns a .json file.	CSV (text or URL) → JSON array of objects (first row = keys). Returns a .json file.	Not declared	Not declared	Not declared	Not declared
`csv_to_md_table`CSV (text or URL) → GitHub-flavoured Markdown table.	CSV (text or URL) → GitHub-flavoured Markdown table.	Not declared	Not declared	Not declared	Not declared
`csv_to_qbo`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.	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.	No	Yes	Yes	No
`dedupe_entities`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	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	Not declared	Not declared	Not declared	Not declared
`diff_tables`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.	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.	No	Yes	Yes	No
`fix_csv_encoding`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.	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.	No	Yes	Yes	No
`json_to_csv`JSON array of objects → CSV file. Flattens keys, quotes fields containing commas.	JSON array of objects → CSV file. Flattens keys, quotes fields containing commas.	Not declared	Not declared	Not declared	Not declared
`match_transactions`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	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	Not declared	Not declared	Not declared	Not declared
`merge_tables`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.	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.	No	Yes	Yes	No
`read_xlsx`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.	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.	Not declared	Not declared	Not declared	Not declared
`reconcile_ledger`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.	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.	No	Yes	Yes	No
`what_can_you_do`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.	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.	No	Yes	Yes	No
`write_xlsx`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.	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.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Aug 15, 2026
Updated: Aug 15, 2026
Website: https://ainetcafe.com/duizhang⁠ (opens in a new tab)
Repository: https://github.com/mario03690/ai-netcafe⁠ (opens in a new tab)
Categories (suggested): Data and analyticsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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