Compare LLM cost & latency on one prompt, translate PDF keeping layout, cited research, make PPTX — MCP server + CLI
claude mcp add ai-netcafe -- npx -y ai-netcafe{
"mcpServers": {
"ai-netcafe": {
"command": "npx",
"args": ["-y", "ai-netcafe"],
"env": {
"ALLROUTER_API_KEY": "<allrouter_api_key>"
}
}
}
}ALLROUTER_API_KEYMCP Servers overview
# ai-netcafe Hosted open-source AI apps, callable by your agent over MCP — and from your terminal. ```bash 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.](https://ainetcafe.com/lab/llm-real-cost-comparison) ## Connect it to an agent ```bash npx ai-netcafe install # prints config for Claude Code / Desktop / Cursor ``` Or directly: ```bash 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 ```bash 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. ```bash 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
What people ask about ai-netcafe
What is mario03690/ai-netcafe?
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mario03690/ai-netcafe is mcp servers for the Claude AI ecosystem. Compare LLM cost & latency on one prompt, translate PDF keeping layout, cited research, make PPTX — MCP server + CLI It has 0 GitHub stars and was last updated 5d ago.
How do I install ai-netcafe?
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You can install ai-netcafe by cloning the repository (https://github.com/mario03690/ai-netcafe) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is mario03690/ai-netcafe safe to use?
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mario03690/ai-netcafe has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains mario03690/ai-netcafe?
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mario03690/ai-netcafe is maintained by mario03690. The last recorded GitHub activity is from 5d ago, with 0 open issues.
Are there alternatives to ai-netcafe?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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