World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
Beschreibung vom Entwickler (englisches Original)
Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://ainetcafe.com/mcp/table?s=registryFühre das in deinem Terminal aus
claude mcp add --transport http netcafe-tables 'https://ainetcafe.com/mcp/table?s=registry'In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"netcafe-tables": {
"url": "https://ainetcafe.com/mcp/table?s=registry"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"netcafe-tables": {
"type": "http",
"url": "https://ainetcafe.com/mcp/table?s=registry"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://ainetcafe.com/mcp/table?s=registryMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 10. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
what_can_you_doDescribe 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 le
csv_to_qboConvert 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.
diff_tablesMatches 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, invento
clean_tableTidies 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 t
merge_tablesCombines 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 cou
reconcile_ledgerReconciles 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 +
fix_csv_encodingDetect 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_xlsxRead 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,
write_xlsxBuild 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.
match_transactionsMatch 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) a
dedupe_entitiesFind 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 m
csv_to_md_tableCSV (text or URL) → GitHub-flavoured Markdown table.
csv_to_chartCSV (first column = labels, second = values) → chart PNG in one call.
csv_to_jsonCSV (text or URL) → JSON array of objects (first row = keys). Returns a .json file.
json_to_csvJSON array of objects → CSV file. Flattens keys, quotes fields containing commas.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 10. Nov. 2026
Der Registry-Name wurde über die Domain ainetcafe.com bestätigt (die Registry prüft, wem die Domain gehört)
Code zuletzt geändert: vor 3 Monaten
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 338 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 15 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 4 von 4 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt vor 3 Monaten geändert, und die neueste Version (1.0.0) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: World Monitor, Claude Flow, Tldraw
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Hosted tools your agent can call over MCP — and a claim you can check in one command:
curl "https://ainetcafe.com/t/china_reachability?url=https://github.com"
{
"url": "https://github.com", "tested_from": "mainland China (China Mobile backbone)", "verdict": "unreachable: timeout (common signature of blocking or a very slow route)" }
That request was answered by a machine actually sitting on a Chinese backbone network. A monitor hosted anywhere else can only tell you GitHub is up *where it is* — which is not the question you were asking. That is the kind of thing we host: capabilities that are hard to get, rather than wrappers around ones that aren't.
One agent profile rarely needs both spreadsheet cleanup and the Chinese lunar calendar, and every tool description costs tokens on every session. So the catalogue is served as four focused MCP endpoints — connect the one you need and pay the context cost of nothing else.
| Pack | URL | What it is |
|---|---|---|
| Tables | https://ainetcafe.com/mcp/table | Messy CSV in, clean checkable table out. Dedupe, merge, transpose, wide→long, find what differs between two tables, reconcile two ledgers. |
| Dev kit | https://ainetcafe.com/mcp/dev | JSON↔YAML, validate JSON, line diff, regex test, JWT decode, SQL dialect transpile, timezone and unit conversion. |
| Doc flow | https://ainetcafe.com/mcp/paper | Markdown → PDF / Word / PowerPoint / EPUB / HTML. PDFs merged, split, rotated, watermarked. |
| China facts | https://ainetcafe.com/mcp/cn | Mainland reachability from a real backbone, statutory holidays including make-up workdays (调休), offline ID and mobile validation, lunar calendar. |
All four are in the official MCP registry as com.ainetcafe/netcafe-tables, -devkit, -docflow and -china.
Nothing in these four calls a language model or a third-party API. They compute on our own servers, so results are deterministic and repeatable — and they cannot break because someone else changed their API.
Anything involving counts or money returns an arithmetic check computed in code, not asserted by a model:
// reconcile_ledger: your books vs the bank statement
{ "total_a": 105.30, "total_b": 106.80, "gap": -1.50, "only_in_a": [{ "key": "B", "amount": 5.00 }], "only_in_b": [{ "key": "C", "amount": 7.00 }], "mismatched": [{ "key": "A3", "a": 100.00, "b": 99.50, "diff": 0.50 }], "arithmetic_check": { "formula": "A 105.3 − B 106.8 = -1.5; differences explain -1.5", "checks_out": true } }
If checks_out is false, the response says the result is untrustworthy instead of handing back a table that looks finished. Amounts are compared in integer cents, so 0.1 + 0.2 never invents a difference for someone to go chase.
claude mcp add --transport http netcafe-tables https://ainetcafe.com/mcp/table
DeepSeek Harness:
dsh plugin --profile web add github:mario03690/dsh-netcafe
Everything is also a plain GET — no MCP client, no SDK, no key:
curl "https://ainetcafe.com/t/cn_holiday?date=2026-10-01"
curl "https://ainetcafe.com/t/diff_text?a=one%0Atwo&b=one%0Athree"
Charts come back as images you can paste straight into a README:
That image is rendered on request, right now, by the same service this page describes.
npx ai-netcafe compare "dedupe a JS array preserving order"
MODEL COST LATENCY
deepseek-v4-flash $0.00012 7.6s gemini-3.5-flash $0.000341 10.0s GLM5.2 $0.001828 9.0s
cheapest: deepseek-v4-flash fastest: deepseek-v4-flash 15.2× between cheapest and priciest
Every number is read from the upstream usage response, not derived from a published price list. That distinction matters more than it sounds — while building this we found the obvious conversion formula was wrong for several models (one off by ~9×, another by ~3×), and only billing-delta measurement matched reality. Full method and data.
The main endpoint (https://ainetcafe.com/mcp) also carries tools that do call a model, and say so:
| Skill | What it does |
|---|---|
extract_invoices | A batch of invoices → one ledger-ready table. Every row checked in code (net + tax = gross); the batch total re-added independently. Mixed currencies get no batch total on purpose — adding them would be an accounting error. |
extract_statement | Bank statement PDF → transactions, with reconciliation (opening + credits − debits = closing). If it doesn't balance it says where the running total first breaks. |
transpile_sql | SQL between dialects via a real parser, not a model — same input, same output, and syntax errors come back with line and column. |
check_resume | Whether an ATS can actually parse a résumé. Rule-based and reproducible. |
remember / recall | Cross-session memory, keyed to your AllRouter key or an anonymous workspace token. |
create_task | Hand a recurring job to a hosted runner; it notifies you only when the result actually changes. |
Full catalogue: https://ainetcafe.com/tools?s=github
Backed by open-source projects — PDFMathTranslate, GPT Academic, GPT Researcher, NextChat, LobeChat — hosted pre-configured so you can try them without installing Docker, Python, or supplying a key.
npx ai-netcafe compare "<prompt>" # multi-model comparison with real costs
npx ai-netcafe ask " " # single model npx ai-netcafe apps # hosted apps + source repos npx ai-netcafe models # models with per-million prices npx ai-netcafe install # MCP config for your agent
Anonymous calls get a free allowance — enough to try everything here, no signup. When it runs out the response tells you how to continue; nothing fails silently. Bring your own AllRouter key and token cost is billed to your own account at direct rates with no markup:
export ALLROUTER_API_KEY=sk-...
Failed calls are not charged. Documents are processed in memory and not retained.
Built and run by the people behind ainetcafe.com. It is our own service, with a free tier and paid usage beyond it. Links here carry an s= tag so we can tell which channel produces real usage — it identifies the channel, not you.
MIT