com.ainetcafe/ai-netcafe is an MCP server that compare LLM cost/latency on one prompt; PDF translate, PPTX, cited research. No key needed. Its tool list has not been published yet, requires no API key, and scores 52/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"com-ainetcafe-ai-netcafe-mario03690": {
"args": [
"-y",
"ai-netcafe"
],
"command": "npx"
}
}
}Are you the author?
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Hosted open-source AI apps, callable by your agent over MCP — and from your terminal.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'ai-netcafe' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked ai-netcafe against OSV.dev.
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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
... [View full README on GitHub](https://github.com/mario03690/ai-netcafe#readme)