mcpbeat

AI Netcafe MCP Server

com.ainetcafe/ai-netcafe
answering

AI Netcafe is answering right now. Last checked 14 min ago. It exposes 21 tools. Last commit 4 Aug 2026.

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

Uptime history 42 hours of history · worst hour 0%
42 hours agonow
100.0%
Uptime 24h
91 of 91 checks
21
Tools
read from the server
881 ms
Response time
average over 24h
0
Stars
last commit 4 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add ai-netcafe --transport http https://ainetcafe.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ai-netcafe": {
      "url": "https://ainetcafe.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ai-netcafe]
url = "https://ainetcafe.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ai-netcafe": {
      "url": "https://ainetcafe.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ai-netcafe": {
      "url": "https://ainetcafe.com/mcp"
    }
  }
}

Available tools 21

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

translate
translate_pdf
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.
translate_text
Translate text between languages using a self-hosted LibreTranslate engine (fully offline, no big-tech API). For whole PDFs with layout preserved, use translate_pdf instead.
app
get_app
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.
apps
list_apps
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.
ask
ask_model
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.
compare
compare_models
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.
convert
convert_to_pdf
Print-quality PDF from a URL or raw HTML via self-hosted Gotenberg (headless Chromium). Returns a hosted PDF download URL.
deep
deep_research
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.
forget
forget
Permanently delete one memory you own (id from recall). Use when a memory is wrong or sensitive.
grammar
check_grammar
Check text for grammar, spelling and style issues in 30+ languages (self-hosted LanguageTool). Returns each issue with a suggested replacement — apply them to produce corrected text.
job
check_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.
make
make_slides
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.
models
list_models
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.
page
fetch_page
Fetch any public URL and return LLM-ready clean Markdown (rendered via Crawl4AI, handles JS pages). Use after web_search to read a source, or to ingest any page for analysis.
project
project_status
Check where a repository stands on AI NetCafé: live (with its public page and app URL), in the deployment pipeline, rejected (with the reason), or unknown. Use after submit_project.
recall
recall
Retrieve 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.
remember
remember
Persist a durable memory: an architecture decision, a stable user preference, a verified bug fix, or an important discovery. Anonymous callers get a small per-network memory pool; callers sending an AllRouter key (Authorization: Bearer sk-...) get a large pool shared across ALL their machines and agents — the same key on a laptop's Claude Code and a desktop's Codex recalls the same memories. Do not store secrets or raw logs.
render
render_diagram
Turn diagram-as-code into an image: Mermaid, PlantUML, Graphviz/DOT, C4, Excalidraw and 20+ more (self-hosted Kroki). Returns a hosted SVG/PNG URL you can embed directly in Markdown or HTML.
submit
submit_project
Submit a GitHub repository (a web app, typically AI-built) to the AI NetCafé hosting platform. The automated pipeline reviews it, containerizes it, deploys it on a dedicated subdomain with HTTPS and a pre-wired multi-LLM gateway, lists it in the store for humans, and exposes it to AI agents. Every use is metered and the author accrues a revenue share. Use this when a user says "deploy my project", "publish my app somewhere", or "I built something with AI, where can people use it?". Free to submit.
transcribe
transcribe_audio
Fetch an audio file from a URL and transcribe it to text with open-source Whisper (100 languages, self-hosted). Good for voice memos, podcast clips and meeting recordings up to ~15 MB.
web
web_search
Search the live web through a self-hosted SearXNG meta-search (aggregates dozens of engines, no tracking). Returns titles, URLs and snippets. Use when you need current information or sources.

Endpoints

URLTransportStateLatencyChecked
https://ainetcafe.com/mcp streamable-http answering 893 ms 14 min ago

AI Netcafe — questions

Answers built from our own checks of this server.

What can AI Netcafe do?
It exposes 21 tools, read directly from the server on our last check. Among them: ask_model, check_grammar, check_job, compare_models, convert_to_pdf, deep_research and 15 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is AI Netcafe working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 881 ms. The bar chart above shows every period we have measured.
How do I connect AI Netcafe?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AI Netcafe need an API key?
No. AI Netcafe completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 21 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AI Netcafe?
It answers our handshake in 881 ms on average, which is faster than 8% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AI Netcafe open source?
Yes — written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.