Netcafe Memory MCP server
Cross-session, cross-device memory for your agent: remember and recall notes. No key to start.
1 stars
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If you have run it, two minutes of your experience saves the next person an afternoon.
Netcafe Memory tools (4)
write = sends, deletes, buys or postsforgetFreePermanently delete one memory you own (id from recall). Use when a memory is wrong or sensitive. Example — tools/call forget {"id":"<memory-id>"}
recallFreeRetrieve previously stored memories, optionally filtered by search query and/or project. Call at the start of work on a known project to restore context: why decisions were made, known fixes, preferences. Example — GET https://ainetcafe.com/t/recall?query=<what+to+remember> (needs a workspace/key for durable memory)
rememberFreePersist a durable memory: an architecture decision, a stable user preference, a verified bug fix, or an important discovery. The free beta provides a bounded per-caller/workspace memory pool; no personal API key is required. Do not store secrets or raw logs. Example — tools/call remember {"content":"Deploy key rotates monthly"}
what_can_you_doFreeDescribe 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 ledger, a bank statement reconciled, a messy CSV turned into a deliverable). Deterministic and free: it calls no model, costs nothing, and never runs out of quota. Call this FIRST when you are not sure what this server offers.
Public scan report
scanner v0.1.9 · 2026-09-23 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 1908ms20/20
- Tool poisoning4 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 38 days ago12/15
- Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
What the publisher says
From the Netcafe Memory repository's README, as published. We do not edit it. Read it on GitHub
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.
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:
// 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 9.0sShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add --transport http netcafe-memory https://ainetcafe.com/mcp/memory?s=registry
Netcafe Memory: common questions
- Is Netcafe Memory MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the Netcafe Memory safety report
- How do I install Netcafe Memory?
- It runs remotely at ainetcafe.com. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Netcafe Memory need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Netcafe Memory maintained?
- The last commit was 39 days ago (2026-08-16). The latest release is v1.1.0.
- Is Netcafe Memory up?
- 100% of our last 20 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Netcafe Memory?
- Servers from other publishers that do the same job: IWE MCP server, Total Agent Memory MCP server and Fidelis Memory MCP server. Compare all Netcafe Memory alternatives.
Alternatives to Netcafe Memory
Same job from other publishers: the closest match first, then the best rated.
- IWEMarkdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- Total Agent MemoryPersistent local memory for coding agents: temporal knowledge graph, procedural and episodic recallnot reviewedEstablishedA
- Fidelis MemoryRecall locally stored agent memories through an MCP-compatible host.not reviewedGrowingB
- coldstartCodebase memory for AI agents: an AST index plus agent-written notes that self-stale.not reviewedGrowingA
- rag-ratRepository intelligence, code graph, history, papertrail, and cross-agent memory for coding agents.not reviewedGrowingB