netcafe-build
Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (5)
- HIGH
- MEDIUMin list_apps
- MEDIUMin get_app
- MEDIUMin project_status
- MEDIUMin check_job
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"netcafe-build": {
"url": "https://ainetcafe.com/mcp/build"
}
}
}Remote-Endpunkte
https://ainetcafe.com/mcp/buildstreamable-httphttps://ainetcafe.com/mcp/build?s=registrystreamable-httpWas es kann
Tool-Inventar
Tools (7)
🟢what_can_you_do(task)
Describe a task in plain language (any language) and get back exactly which tools on this server do it, with ready-to-run example calls — instead of reading the whole catalogue and guessing. Also returns multi-step recipes when a task needs several tools chained (invoices to a ledger, a bank statement reconciled, a messy CSV turned into a deliverable). Deterministic and free: it calls no model, costs nothing, and never runs out of quota. Call this FIRST when you are not sure what this server offers.
Eingabe-Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "What you are trying to do, e.g. \"reconcile a bank statement against my books\" or \"把一堆发票整理成能入账的表格\""
}
},
"required": [
"task"
]
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true
}🟢list_apps(category)
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. Example — GET https://ainetcafe.com/t/list_apps
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional filter, e.g. \"office\", \"research\", \"chat\"."
}
}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"apps": {
"type": "array",
"items": {
"type": "object"
}
},
"try_in_browser": {
"type": "string"
}
},
"required": [
"apps"
]
}🟢get_app(slug)
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. Example — GET https://ainetcafe.com/t/get_app?slug=<slug-from-list_apps>
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Application slug, from list_apps."
}
},
"required": [
"slug"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"open_url": {
"type": "string"
}
},
"required": [
"slug",
"name"
]
}🟡submit_project(repo, contact, note)
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 temporarily subsidized during the free beta; measured platform cost is returned as metadata. 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. Example — tools/call submit_project {"repo":"owner/name"}
Eingabe-Schema
{
"type": "object",
"properties": {
"repo": {
"type": "string",
"description": "GitHub repository as owner/name (or full github.com URL)."
},
"contact": {
"type": "string",
"description": "Optional contact (email / X / GitHub handle) for listing and revenue notifications."
},
"note": {
"type": "string",
"description": "Optional one-liner: who is it for, what does it solve."
}
},
"required": [
"repo"
]
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true
}🟢project_status(repo)
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. Example — GET https://ainetcafe.com/t/project_status?repo=<owner/name>
Eingabe-Schema
{
"type": "object",
"properties": {
"repo": {
"type": "string",
"description": "GitHub repository owner/name, full URL, or the listed slug."
}
},
"required": [
"repo"
]
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true
}🟢check_job(job_id)
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. Example — GET https://ainetcafe.com/t/check_job?job_id=<id-from-a-job-tool>
Eingabe-Schema
{
"type": "object",
"properties": {
"job_id": {
"type": "string",
"description": "The job_id returned when the task was started."
}
},
"required": [
"job_id"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"job_id": {
"type": "string"
},
"kind": {
"type": "string"
},
"status": {
"type": "string"
},
"is_terminal": {
"type": "boolean"
},
"retry_after_seconds": {
"type": "integer"
},
"next_action": {
"type": [
"object",
"null"
]
},
"result": {},
"structured_result": {},
"error": {
"type": "string"
}
},
"required": [
"job_id",
"status"
]
}🟢build_app(description, name, visibility, refine)
Turn one plain-language description into a LIVE single-page web tool: code is generated, deployed to managed hosting with HTTPS, and listed — you get the public URL in ~1-2 minutes. Best for tool-style apps: calculators, converters, checklists, timers, generators, small games. Async — poll with check_job. Example — tools/call build_app {"description":"a tip calculator web app"} → poll check_job
Eingabe-Schema
{
"type": "object",
"properties": {
"description": {
"type": "string",
"description": "What the tool should do, in any language. Be specific about inputs/outputs."
},
"name": {
"type": "string",
"description": "Optional short app name (defaults to the description)."
},
"visibility": {
"type": "string",
"description": "\"public\" (default, listed in the store) or \"unlisted\" (URL-only, not in the store)."
},
"refine": {
"type": "string",
"description": "Slug of an app you built earlier (e.g. \"u-1a23e679\") to modify instead of building from scratch — describe only the change in `description`."
}
},
"required": [
"description"
]
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true
}Community
Nachweis