AI NetCafé
Hosted open-source AI apps, callable by agents — with one-call app publishing.
Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeCan modify data
What it can do
- 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 pr
- 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
What data it sees
Do you need an account
No: the server works without sign-in
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 for unlimited use. Docs: https://ainetcafe.com/mcp.html
Server tool list (11)
Raw names from tools/list. Only developers need these.
| 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. |