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Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
About
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Remote endpoints: streamable-http: https://ainetcafe.com/mcp/build
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
Endpoint verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-ainetcafe-netcafe-build": {
"url": "https://ainetcafe.com/mcp/build"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
ai-netcafe
Hosted open-source AI apps, callable by your agent over MCP — and from your terminal.
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
The point: costs are metered, not quoted
Every number above 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 was off by ~9×, another by ~3×), and only billing-delta measurement matched
reality. Full method and data.
Connect it to an agent
npx ai-netcafe install # prints config for Claude Code / Desktop / Cursor
Or directly:
claude mcp add --transport http ai-netcafe https://ainetcafe.com/mcp
Skills the agent gets
| Skill | What it does |
|---|---|
compare_models | One prompt across many LLMs, with real metered cost + latency |
translate_pdf | Translate a PDF keeping formulas, figures and two-column layout intact |
deep_research | Plans sub-questions, searches, reads sources, writes a cited report |
make_slides | Generates a real downloadable .pptx |
list_apps / get_app | Catalogue of the hosted open-source apps, with source repos |
ask_model / list_models | Single model call; model list with prices |
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 an API key.
CLI commands
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 small free quota — enough to try. Heavy skills (whole-PDF translation, deep research, slide generation) need an account or your own key, because one of those runs costs dozens to hundreds of model calls.
export ALLROUTER_API_KEY=sk-... # unlimited, billed to you
Links
- Docs: https://ainetcafe.com/mcp.html
- Live cost comparison (updated daily): https://ainetcafe.com/lab/llm-real-cost-comparison
- A2A agent card: https://ainetcafe.com/.well-known/agent-card.json
MIT
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