netcafe-build

Deploy a live web app from one sentence. build_app + poll to a public HTTPS URL you own.

我該用這個嗎

品質與安全性

B
說明品質
100%
結構描述完整度
99%
命名品質
94%
汙染風險
20%
權限相符程度
100%
協定合規性
100%

發現項目(5)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domain在 list_apps 中
  • MEDIUMTool description contains URL to non-standard domain在 get_app 中
  • MEDIUMTool description contains URL to non-standard domain在 project_status 中
  • MEDIUMTool description contains URL to non-standard domain在 check_job 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~1,569Token(工具定義)
~1.0 KB典型回應大小
中等的注意力影響(128k 上下文的 1.23%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "netcafe-build": {
      "url": "https://ainetcafe.com/mcp/build"
    }
  }
}

遠端端點

https://ainetcafe.com/mcp/buildstreamable-http
https://ainetcafe.com/mcp/build?s=registrystreamable-http

它能做什麼

工具清單

工具(7)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

{
  "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"
  ]
}

輸出結構描述

{
  "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

輸入結構描述

{
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Optional filter, e.g. \"office\", \"research\", \"chat\"."
    }
  }
}

輸出結構描述

{
  "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>

輸入結構描述

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Application slug, from list_apps."
    }
  },
  "required": [
    "slug"
  ]
}

輸出結構描述

{
  "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"}

輸入結構描述

{
  "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"
  ]
}

輸出結構描述

{
  "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>

輸入結構描述

{
  "type": "object",
  "properties": {
    "repo": {
      "type": "string",
      "description": "GitHub repository owner/name, full URL, or the listed slug."
    }
  },
  "required": [
    "repo"
  ]
}

輸出結構描述

{
  "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>

輸入結構描述

{
  "type": "object",
  "properties": {
    "job_id": {
      "type": "string",
      "description": "The job_id returned when the task was started."
    }
  },
  "required": [
    "job_id"
  ]
}

輸出結構描述

{
  "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

輸入結構描述

{
  "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"
  ]
}

輸出結構描述

{
  "type": "object",
  "additionalProperties": true
}

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