Skip to main content
Glama

ai-netcafe

China: reachable

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

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.

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/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:

live chart

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 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:

Skill

What it does

extract_invoices

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.

extract_statement

Bank statement PDF → transactions, with reconciliation (opening + credits − debits = closing). If it doesn't balance it says where the running total first breaks.

transpile_sql

SQL between dialects via a real parser, not a model — same input, same output, and syntax errors come back with line and column.

check_resume

Whether an ATS can actually parse a résumé. Rule-based and reproducible.

remember / recall

Cross-session memory, keyed to your AllRouter key or an anonymous workspace token.

create_task

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 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:

export ALLROUTER_API_KEY=sk-...

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

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

A
license - permissive license
Not graded
quality - not tested
D
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    250+ AI-powered MCP tools: research, write, code, translate, scrape, sentiment, vision, RAG, agent memory, marketplace, trading signals, and more. 15 models across 7 providers. Pay-per-use via API key or x402 USDC micropayments.
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP tools for video transcoding, document conversion, and multi-step pipelines — callable by any AI agent.
    12
    117
    1
    MIT
  • A
    license
    C
    quality
    B
    maintenance
    One MCP install that lets your AI agents discover and pay (x402 micropayments, USDC on Base + Solana) for 66 specialized real-time intelligence APIs - finance, crypto, insurance, immigration, legal, markets and more. 68 tools, pey-per-query, no subscription.
    69
    27
    2
    Apache 2.0

View all related MCP servers

Related MCP Connectors

  • Hosted MCP with 91 agent tools: X, domains, SEO, Maps, Trends, Search, YouTube, TikTok, and more.

  • Free OpenAI-compatible inference with signed provenance receipts and 3 focused MCP tools.

  • Free public MCP for AI agents — 193 tools, 44 workflows. No API key.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mario03690/ai-netcafe'

If you have feedback or need assistance with the MCP directory API, please join our Discord server