# com.ainetcafe/ai-netcafe (remote · ainetcafe.com)

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

- Trust score: 70/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `ainetcafe.com`: 70/100 (this document), [markdown](https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe.md), [page](https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe)

## Channel facts

- Endpoint: `https://ainetcafe.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 74/100
  - AI-judged instruction clarity (excellent).
  - 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.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 17/100
  - Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### Claude

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

### Codex

```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
    }
  }
}
```

### OpenClaw

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

### Hermes

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

### Other

```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 recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 70, +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.

### 2026-08-01 (score 69, +6)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-31 (score 63, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 64, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-07-29 (score 64)

First indexed and scored.

## MCP tools (9)

### `list_apps` (~142 tokens)

List hosted open-source AI applications

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 parameters:

- `category` (string): Optional filter, e.g. "office", "research", "chat".

Output parameters:

- `apps` (array)
- `try_in_browser` (string)

### `get_app` (~55 tokens)

Get details of one application

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 parameters:

- `slug` (string, required): Application slug, from list_apps.

Output parameters:

- `name` (string)
- `open_url` (string)
- `slug` (string)

### `ask_model` (~105 tokens)

Run a prompt on a specific LLM

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 parameters:

- `max_tokens` (integer): Optional output cap.
- `model` (string): Model id. Call list_models for available ids. Defaults to a cheap capable model.
- `prompt` (string, required): The prompt to send.
- `system` (string): Optional system instruction.

Output parameters:

- `answer` (string)
- `cost_usd` (number)
- `latency_ms` (number)
- `model` (string)

### `compare_models` (~118 tokens)

Run the same prompt on several models and compare

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 parameters:

- `models` (array): Model ids to compare (2-5). Defaults to a cheap/mid/strong spread.
- `prompt` (string, required): The prompt to send to every model.
- `system` (string): Optional system instruction applied to all.

Output parameters:

- `results` (array)
- `summary` (object|null)

### `list_models` (~37 tokens)

List available models with prices

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.

Output parameters:

- `models` (array)

### `deep_research` (~152 tokens)

Run an autonomous research agent

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 parameters:

- `depth` (string): quick = outline only (~1 min); standard = full cited report (~3 min). Default standard.
- `topic` (string, required): The research question. Phrase it as a question, not a keyword.

Output parameters:

- `job_id` (string)
- `poll_interval_seconds` (integer)
- `status` (string)

### `check_job` (~86 tokens)

Check a long-running job

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 parameters:

- `job_id` (string, required): The job_id returned when the task was started.

Output parameters:

- `error` (string)
- `is_terminal` (boolean)
- `job_id` (string)
- `kind` (string)
- `next_action` (object|null)
- `result`
- `retry_after_seconds` (integer)
- `status` (string)
- `structured_result`

### `translate_pdf` (~173 tokens)

Translate a PDF keeping its layout

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 parameters:

- `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, required): Direct URL to the PDF (e.g. an arXiv PDF link).

Output parameters:

- `job_id` (string)
- `poll_interval_seconds` (integer)
- `status` (string)

### `make_slides` (~132 tokens)

Generate a PowerPoint deck

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 parameters:

- `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, required): The topic, or a full outline to follow.

Output parameters:

- `job_id` (string)
- `poll_interval_seconds` (integer)
- `status` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe#diagnostics

## Score history

- 2026-08-03: 70
- 2026-08-02: 69
- 2026-08-01: 69
- 2026-07-31: 63
- 2026-07-30: 64
- 2026-07-29: 64

## Links

- Remote endpoint: https://ainetcafe.com/mcp
- Repository: https://github.com/mario03690/ai-netcafe
- Website: https://ainetcafe.com/mcp.html
- Changelog RSS feed: https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-ainetcafe-ai-netcafe/ainetcafe