World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
검사 4/5 통과 · 내가 묻는 내용은 제작자 서버(ainetcafe.com)를 거쳐요
먼저: 어떤 AI를 쓰시나요?
쓰는 앱을 고르면 아래에 단계가 나옵니다.
Claude에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음 · claude.ai나 데스크톱 앱에서 한 번 설정하면 채팅에서 쓸 수 있어요 · 무료 계정은 1개까지 · Team/Enterprise는 소유자(Owner)가 추가
CustomizeConnectors
여기서 복사해 Claude의 같은 이름 칸에 붙여 넣고 Continue를 누르세요
Netcafe Tableshttps://ainetcafe.com/mcp/table?s=registryAuthentication은 Claude가 찾은 그대로 두고 Add를 누르세요
+ConnectorsNetcafe Tables
Netcafe Tables을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude가 Netcafe Tables을 쓰고 있다고 하거나 답에 Netcafe Tables 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
ChatGPT는 기업용 요금제에서만 연결돼요
웹의 ChatGPT Business, Enterprise, Edu에서 워크스페이스 관리자나 소유자가 추가해요 · Free, Plus, Pro를 쓰면: 내 ChatGPT 요금제로는 아직 MCP를 직접 연결할 수 없어요
Plugins+Add custom MCP server
이름을 넣고 Connection에 주소를 붙여 넣은 뒤 경고에 체크하고 Create as a plugin을 누르세요
Netcafe Tableshttps://ainetcafe.com/mcp/table?s=registry새 채팅을 열고 입력 전에 플러그인 목록에서 Netcafe Tables을 고르세요
Netcafe Tables을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ ChatGPT가 Netcafe Tables을 쓰고 있다고 하거나 답에 Netcafe Tables 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 OpenAI 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Claude Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
Mac: Command+스페이스를 누르고 Terminal 입력 · Windows: PowerShell 열기
claude mcp add --transport http --scope user netcafe-tables 'https://ainetcafe.com/mcp/table?s=registry'Netcafe Tables이 목록에 있고 연결됨으로 보이면 돼요
Netcafe Tables을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude Code가 Netcafe Tables을 쓰고 있다고 하거나 답에 Netcafe Tables 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Cursor에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
Netcafe Tables을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Cursor가 Netcafe Tables을 쓰고 있다고 하거나 답에 Netcafe Tables 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 Cursor 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
VS Code에 연결할 수 있어요 · 약 2분
키 필요 없음, 설치 필요 없음
Netcafe Tables을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ VS Code가 Netcafe Tables을 쓰고 있다고 하거나 답에 Netcafe Tables 도구 이름이 나오면 연결된 거예요
메뉴 이름은 2026년 11월 11일에 VS Code 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Windsurf, Zed, Gemini CLI 같은 다른 MCP 앱은 추가 방법이 저마다 달라요. 앱 목록에서 확인하세요
웹으로 연결하는 앱용 주소
https://ainetcafe.com/mcp/table?s=registryJSON 설정은 아래 “개발자용”에 있어요
Claude Code
claude mcp add --transport http --scope user netcafe-tables 'https://ainetcafe.com/mcp/table?s=registry'Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"netcafe-tables": {
"url": "https://ainetcafe.com/mcp/table?s=registry"
}
}
}VS Code (mcp.json)
{
"servers": {
"netcafe-tables": {
"type": "http",
"url": "https://ainetcafe.com/mcp/table?s=registry"
}
}
}이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.
인터넷으로 연결하는 앱
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
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.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 12일 점검
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
아직 리뷰가 없어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 5개 중 4개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 3개월 전 변경됐고, 최신 버전(1.0.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되므로 원격 MCP를 지원하는 앱에서도 쓸 수 있어요. 예: ChatGPT Business 이상.
같은 카테고리에는: World Monitor, Claude Flow, Windmill
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Run Windmill scripts and flows and manage jobs, schedules, resources and variables.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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