Netcafe Memory

com.ainetcafe由 ainetcafe.com 發布官方發布者v1.1.0更新於 Oct 27, 2026

Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.

發布方自己的服務:Ai Netcafe

已驗證Streamable HTTP可網頁執行效率與工作流知識與記憶

概覽

AI 產生的概覽

託管式 MCP 端點,為代理提供跨工作階段、跨裝置的記憶:用 remember 存筆記,用 recall 取回。

可以做什麼
  • 把筆記寫入託管記憶庫,依 AllRouter 金鑰或匿名工作區權杖歸屬
  • 跨工作階段、跨裝置取回先前儲存的筆記
  • 同一端點還提供發票與對帳單擷取、SQL 方言轉換、履歷解析、排程任務等託管工具
  • 也可不裝 MCP 用戶端,直接用一般 HTTP GET 呼叫相同能力
適用情境
適合希望助理在不同對話之間或不同裝置之間保留脈絡、又不想自建儲存的情境。若你想要一個免金鑰的託管記憶服務,並願意同時使用同一供應商的其他實用工具,也值得加入。
執行需求
遠端 streamable HTTP 端點,位於 ainetcafe.com;無需安裝套件、金鑰或環境變數即可開始。匿名呼叫有免費額度,可提供 AllRouter 金鑰以繼續使用。
安裝前請注意
筆記會存放在第三方託管服務上,不要寫入密鑰或敏感個人資料。匿名使用綁定工作區權杖,超出免費額度後為付費使用;供應商稱文件在記憶體中處理且不保留,但記憶筆記本身就是被持久保存的內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Netcafe Memory,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.ainetcafe%2Fnetcafe-memory/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "netcafe-memory": {
      "type": "http",
      "url": "https://ainetcafe.com/mcp/memory?s=registry"
    }
  }
}

README

ai-netcafe

[China: reachable]

Hosted tools your agent can call over MCP — and a claim you can check in one command:

bash
curl "https://ainetcafe.com/t/china_reachability?url=https://github.com"
json
{  "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.

PackURLWhat it is
Tableshttps://ainetcafe.com/mcp/tableMessy CSV in, clean checkable table out. Dedupe, merge, transpose, wide→long, find what differs between two tables, reconcile two ledgers.
Dev kithttps://ainetcafe.com/mcp/devJSON↔YAML, validate JSON, line diff, regex test, JWT decode, SQL dialect transpile, timezone and unit conversion.
Doc flowhttps://ainetcafe.com/mcp/paperMarkdown → PDF / Word / PowerPoint / EPUB / HTML. PDFs merged, split, rotated, watermarked.
China factshttps://ainetcafe.com/mcp/cnMainland 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.

Numbers come with their own proof

Anything involving counts or money returns an arithmetic check computed in code, not asserted by a model:

jsonc
// 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

bash
claude mcp add --transport http netcafe-tables https://ainetcafe.com/mcp/table

DeepSeek Harness:

bash
dsh plugin --profile web add github:mario03690/dsh-netcafe

Everything is also a plain GET — no MCP client, no SDK, no key:

bash
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:

[live chart]

That image is rendered on request, right now, by the same service this page describes.

Model cost is measured, not quoted

bash
npx ai-netcafe compare "dedupe a JS array preserving order"
MODEL              COST       LATENCYdeepseek-v4-flash  $0.00012    7.6sgemini-3.5-flash   $0.000341   10.0sGLM5.2             $0.001828   9.0s
cheapest: deepseek-v4-flash   fastest: deepseek-v4-flash15.2× 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.

Heavier skills

The main endpoint (https://ainetcafe.com/mcp) also carries tools that do call a model, and say so:

SkillWhat it does
extract_invoicesA 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_statementBank statement PDF → transactions, with reconciliation (opening + credits − debits = closing). If it doesn't balance it says where the running total first breaks.
transpile_sqlSQL between dialects via a real parser, not a model — same input, same output, and syntax errors come back with line and column.
check_resumeWhether an ATS can actually parse a résumé. Rule-based and reproducible.
remember / recallCross-session memory, keyed to your AllRouter key or an anonymous workspace token.
create_taskHand 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

bash
npx ai-netcafe compare "<prompt>"   # multi-model comparison with real costsnpx ai-netcafe ask "<prompt>"       # single modelnpx ai-netcafe apps                 # hosted apps + source reposnpx ai-netcafe models               # models with per-million pricesnpx ai-netcafe install              # MCP config for your agent

Quota

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:

bash
export ALLROUTER_API_KEY=sk-...

Failed calls are not charged. Documents are processed in memory and not retained.

Links

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

來源:README.md,提交 c14bb34

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v1.1.0最新Sep 16, 2026

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