AI NetCafé

Hosted open-source AI apps, callable by agents — with one-call app publishing. - **submit_project**: publish a web app (often AI-built) to managed hosting with one tool call: automated review, source build, dedicated subdomain + HTTPS, listing for humans and agents, metered revenue share for the author. Check with **project_status**. - **compare_models**: one prompt across multiple LLMs with actually metered cost and latency — answers "which model should I use" with data. - **translate_pdf**: full-PDF translation preserving formulas, figures and layout. - **deep_research**: autonomous cited research reports. - **make_slides**: real downloadable .pptx generation. Free anonymous quota, no key needed to try. Send `Authorization: Bearer <AllRouter key>` for unlimited use. Docs: https://ainetcafe.com/mcp.html

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://ai-netcafe--letschewheeley36.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "AI NetCafé": {
      "url": "https://ai-netcafe--letschewheeley36.run.tools"
    }
  }
}

能力清单

工具	说明
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.
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.
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_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.
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.
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.
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.
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.
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.
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.
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.

纠错与举报（发现条目失效、署名有误或涉及侵权？）

提交举报 / 纠错

侵权举报经核验成立后，我们会即时下线该条目并删除已存的内容副本。