Agenten stärken
Die eigene URL des Herausgebers. Kein PlugMCP-Endpunkt.
Host a copy with our keys and logs.
https://ainetcafe.com/mcp/memory?s=registryDie Claude-Schaltfläche oben öffnet Claude mit ausgefülltem Namen und ausgefüllter URL. Sie bestätigen dort noch.
claude mcp add --transport http com.ainetcafe-netcafe-memory https://ainetcafe.com/mcp/memory?s=registryRun in a terminal.
{ "mcpServers": { "com.ainetcafe-netcafe-memory": { "command": "npx", "args": [ "-y", "mcp-remote", "https://ainetcafe.com/mcp/memory?s=registry" ] } }}claude_desktop_config.json
Remote-URL oder ein Befehl auf Ihrem Rechner? Worin sich die beiden Installationen unterscheiden
Auf PlugMCP ausführen
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
StartenVom Herausgeber
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)"
}
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
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.
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:
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 "<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 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
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
{ "mcpServers": { "com.ainetcafe-netcafe-memory": { "url": "https://ainetcafe.com/mcp/memory?s=registry", "headers": {} } }}Tools
Noch keine Tool-Liste. Remote-Server erhalten eine nach dem ersten Health-Check.
FAQ
Kopieren Sie auf dieser Seite die http-Konfiguration für Cursor, Claude Desktop, Claude Code oder VS Code. Sie nutzt die Installation des Herausgebers, keinen PlugMCP-Proxy.
In diesem Eintrag ist keine erforderliche Umgebungsvariable aufgeführt.
Netcafe Memory wird über HTTP erreicht.
Zuletzt geprüft: 2026-11-08. Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.