com.ainetcafe/ai-netcafe

REMOTE · AINETCAFE.COM · SCANNED AUG 3

Compare LLM cost/latency on one prompt; PDF translate, PPTX, cited research. No key needed.

Available components

70 70 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security74

The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail

Transport & Reachability100

Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass

Schema Quality & AI Usability74

AI-judged instruction clarity (excellent).Pass
Context-footprint check failed: tool/resource definitions use about 1113 tokens (~123/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management17

Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage100

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
100% of tool parameters carry a description.Pass
Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass

Capabilities60

Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · ainetcafe.com

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add --transport http com-ainetcafe-ai-netcafe https://ainetcafe.com/mcp

# ~/.codex/config.toml

[mcp_servers.com-ainetcafe-ai-netcafe]
url = "https://ainetcafe.com/mcp"

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-ainetcafe-ai-netcafe": {
      "type": "remote",
      "url": "https://ainetcafe.com/mcp",
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add com-ainetcafe-ai-netcafe --url https://ainetcafe.com/mcp --transport streamable-http

# ~/.hermes/config.yaml

mcp_servers:
  com-ainetcafe-ai-netcafe:
    url: "https://ainetcafe.com/mcp"

// mcp.json

{
  "mcpServers": {
    "com-ainetcafe-ai-netcafe": {
      "type": "http",
      "url": "https://ainetcafe.com/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
1 Aug 26 +6
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
31 Jul 26 −1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 0
- Stability: unverified → 0.03 ▲ functional
29 Jul 26 64

First indexed and scored.

Show 4 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://ainetcafe.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject	Issuer	Valid from	Valid until	Key	Signature	Serial
CN=ainetcafe.com	CN=WE1,O=Google Trust Services,C=US	29 Jul 2026	27 Oct 2026	ECDSA 256	ECDSA-SHA256	dac48256f0fdbd780ea13de50d28b439
SANs: ainetcafe.com, *.ainetcafe.com
CN=WE1,O=Google Trust Services,C=US (CA)	CN=GTS Root R4,O=Google Trust Services LLC,C=US	13 Dec 2023	20 Feb 2029	ECDSA 256	ECDSA-SHA384	7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA)	CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE	15 Nov 2023	28 Jan 2028	ECDSA 384	SHA256-RSA	7fe530bf331343bedd821610493d8a1b

DNSSEC insecure

Validation of ainetcafe.com. — Not signed

Zone	DS	Keys	Algorithms	Outcome
.	trust_anchor	20326, 38696	8, 8	Verified
com.	present	19718	13	Verified
ainetcafe.com.	absent			Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation

Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result	No authorisation required
HTTP status	200

Transports 2 probes

Transport	URL	Outcome	Status	Location
streamable-http	https://ainetcafe.com/mcp	Verified	200
http (plaintext)	http://ainetcafe.com/mcp	HTTPS enforced	301	https://ainetcafe.com/mcp

MCP tools — 9 exposed · ~1,000 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

ask_model Run a prompt on a specific LLM ~105

Send a prompt to one specific large language model and get the answer plus its exact cost in USD. Useful when you want a second opinion from a different model, or a cheaper model for a bulk subtask.

Input Output Examples

Name	Type	Req	Description
max_tokens	integer	—	Optional output cap.
model	string	—	Model id. Call list_models for available ids. Defaults to a cheap capable model.
prompt	string	yes	The prompt to send.
system	string	—	Optional system instruction.

Name	Type	Req	Description
answer	string	—	—
cost_usd	number	—	—
latency_ms	number	—	—
model	string	—	—

No examples provided.

check_job Check a long-running job ~86

Get the status or result of a job started by deep_research, translate_pdf, or make_slides. Poll every 15-30 seconds until status is "done" or "error". While work is pending, follow retry_after_seconds and next_action; when complete, prefer structured_result when present.

Input Output Examples

Name	Type	Req	Description
job_id	string	yes	The job_id returned when the task was started.

Name	Type	Req	Description
error	string	—	—
is_terminal	boolean	—	—
job_id	string	yes	—
kind	string	—	—
next_action	object\|null	—	—
result	—	—	—
retry_after_seconds	integer	—	—
status	string	yes	—
structured_result	—	—	—

No examples provided.

compare_models Run the same prompt on several models and compare ~118

Run one prompt across multiple LLMs in parallel and return every answer side by side with its real measured cost and latency. This answers "which model should I actually use for this kind of task?" with data instead of guesswork — useful before committing a long job to an expensive model.

Input Output Examples

Name	Type	Req	Description
models	array	—	Model ids to compare (2-5). Defaults to a cheap/mid/strong spread.
prompt	string	yes	The prompt to send to every model.
system	string	—	Optional system instruction applied to all.

Name	Type	Req	Description
results	array	yes	—
summary	object\|null	—	—

No examples provided.

deep_research Run an autonomous research agent ~152

Start an autonomous web research task. The agent plans sub-questions, searches the web, reads the sources and writes a report with citations — this is real research, not a single model call, and takes 2-5 minutes. Returns a job_id immediately; poll check_job to get the report. Use this when you need sourced, current information rather than what a model already knows. Powered by gpt-researcher (29k stars) hosted at AI NetCafé.

Input Output Examples

Name	Type	Req	Description
depth	string	—	quick = outline only (~1 min); standard = full cited report (~3 min). Default standard.
topic	string	yes	The research question. Phrase it as a question, not a keyword.

Name	Type	Req	Description
job_id	string	yes	—
poll_interval_seconds	integer	—	—
status	string	yes	—

No examples provided.

get_app Get details of one application ~55

Full details of one hosted application: what it does, how to use it, measured benchmark scores, source repository, and the URL a human can open to run it.

Input Output Examples

Name	Type	Req	Description
slug	string	yes	Application slug, from list_apps.

Name	Type	Req	Description
name	string	yes	—
open_url	string	—	—
slug	string	yes	—

No examples provided.

list_apps List hosted open-source AI applications ~142

List the open-source AI applications hosted and ready to run at AI NetCafé (ainetcafe.com). Each one normally requires local setup (Docker/Python + your own model API key); here they run pre-configured. Use this to find a tool for a task like translating a PDF with formulas intact, generating a PowerPoint file, polishing an academic paper, or running an autonomous research report. Do not call this first when the request already clearly matches compare_models, translate_pdf, deep_research, or make_slides; call that task tool directly.

Input Output Examples

Name	Type	Req	Description
category	string	—	Optional filter, e.g. "office", "research", "chat".

Name	Type	Req	Description
apps	array	yes	—
try_in_browser	string	—	—

No examples provided.

list_models List available models with prices ~37

List every model callable through AI NetCafé with its input/output price per million tokens, so you can pick by cost as well as capability.

Input Output Examples

Input schema present but exposes no named parameters.

Name	Type	Req	Description
models	array	yes	—

No examples provided.

make_slides Generate a PowerPoint deck ~132

Turn a topic or an outline into a real downloadable .pptx file — not a link into someone's web editor. Returns a job_id; poll check_job for the download URL. Usually 1-3 minutes. Powered by Presenton (open source) hosted at AI NetCafé.

Input Output Examples

Name	Type	Req	Description
instructions	string	—	Optional extra guidance on style or emphasis.
language	string	—	Output language, e.g. "Chinese", "English". Default Chinese.
slides	integer	—	Number of slides (default 8).
topic	string	yes	The topic, or a full outline to follow.

Name	Type	Req	Description
job_id	string	yes	—
poll_interval_seconds	integer	—	—
status	string	yes	—

No examples provided.

translate_pdf Translate a PDF keeping its layout ~173

Translate a PDF from a URL while preserving the original layout — formulas, figures and two-column academic typesetting stay intact, unlike ordinary translators that flatten the document. Returns a job_id; poll check_job for the download links (translated-only and bilingual side-by-side). Typically 20-60 seconds for a few pages. Powered by PDFMathTranslate (36k stars) hosted at AI NetCafé.

Input Output Examples

Name	Type	Req	Description
lang_to	string	—	Target language, e.g. "Simplified Chinese", "Japanese". Default Simplified Chinese.
pages	string	—	How much to translate. first = 1 page, first5 = first 5 pages (default), all = whole document (slow and expensive).
url	string	yes	Direct URL to the PDF (e.g. an arXiv PDF link).

Name	Type	Req	Description
job_id	string	yes	—
poll_interval_seconds	integer	—	—
status	string	yes	—

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

29 Jul 3 Aug