ai-netcafe
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ai-netcafecompare models: write a haiku about winter"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ai-netcafe
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.
Four focused servers
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 |
| Messy CSV in, clean checkable table out. Dedupe, merge, transpose, wide→long, find what differs between two tables, reconcile two ledgers. |
Dev kit |
| JSON↔YAML, validate JSON, line diff, regex test, JWT decode, SQL dialect transpile, timezone and unit conversion. |
Doc flow |
| Markdown → PDF / Word / PowerPoint / EPUB / HTML. PDFs merged, split, rotated, watermarked. |
China facts |
| 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.
Related MCP server: Botverse
Numbers come with their own proof
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.
Connect it
claude mcp add --transport http netcafe-tables https://ainetcafe.com/mcp/tableDeepSeek Harness:
dsh plugin --profile web add github:mario03690/dsh-netcafeEverything 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.
Model cost is measured, not quoted
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 priciestEvery 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.
Heavier skills
The main endpoint (https://ainetcafe.com/mcp) also carries tools that do call a model, and say so:
Skill | What it does |
| 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. |
| Bank statement PDF → transactions, with reconciliation (opening + credits − debits = closing). If it doesn't balance it says where the running total first breaks. |
| SQL between dialects via a real parser, not a model — same input, same output, and syntax errors come back with line and column. |
| Whether an ATS can actually parse a résumé. Rule-based and reproducible. |
| Cross-session memory, keyed to your AllRouter key or an anonymous workspace token. |
| 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.
CLI
npx ai-netcafe compare "<prompt>" # multi-model comparison with real costs
npx ai-netcafe ask "<prompt>" # 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 agentQuota
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.
Links
Docs and one-line configs: https://ainetcafe.com/mcp.html?s=github
Reconcile two tables in your browser, no install: https://ainetcafe.com/duizhang?s=github
What every call actually cost: https://ainetcafe.com/spend?s=github
Live cost comparison, updated daily: https://ainetcafe.com/lab/llm-real-cost-comparison?s=github
A2A agent card: https://ainetcafe.com/.well-known/agent-card.json
Disclosure
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
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