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ai-netcafe

mcp-name: com.ainetcafe/ai-netcafe

给 AI agent 的一套工具,零依赖、不用注册就能开始。匿名有免费额度,每次调用都会告诉你花了多少钱。

pip install ai-netcafe
from ai_netcafe import NetCafe
nc = NetCafe()                        # 匿名;NetCafe(key="sk-...") 提额 + 跨设备记忆

nc.search("MCP 协议 2026")             # 联网搜索
nc.read("https://example.com")         # 网页 → 干净 Markdown
nc.diagram("graph TD; A-->B")          # Mermaid/PlantUML/Graphviz → SVG
nc.transcribe("https://x.com/a.mp3")   # 语音 → 文字
nc.remember("决定用 Fastify")           # 跨会话、跨设备的记忆
nc.build("一个番茄钟,可自定义时长")       # ★ 一句话造一个真正在线的应用
nc.costs()                             # 各模型同题实际收费(见下)

不装任何东西也能用 —— 任何能发 HTTP 请求的 agent 现在就能调:

curl "https://ainetcafe.com/t/web_search?query=MCP+protocol+2026"

同一道题,各模型实际收费差多少(CC BY 4.0)

厂商公布的是「每百万 token 多少钱」。但一次调用花多少钱,取决于模型自己愿意吐多少 token —— 同一道题,有的模型二十几个 token 收工,有的写四百个。我们每晚把固定的题(temperature 0)发给 每个模型,按各家真实上报的用量算实付:

short_answer — 最贵的比最便宜的贵 26.6 倍

模型 这道题实付 tokens 入/出
deepseek-v4-flash $0.000152 26 / 201
GLM5.2 $0.000742 34 / 200
claude-sonnet-5 $0.000994 21 / 116
gemini-3.5-flash $0.001351 688 / 73
claude-opus-4-8 $0.002124 21 / 102
Kimi-K3 $0.002239 28 / 181

截至 2026-08-06,窗口 30 天,中位数倍差 26.6 倍。 完整数据(三类任务 × 全部模型)与方法论:https://ainetcafe.com/costs

接进你的 agent(一行)

ai-netcafe install
# 或者
claude mcp add --transport http ai-netcafe https://ainetcafe.com/mcp

23 个工具会直接出现在 Claude Code / Cursor 里。文档:https://ainetcafe.com/mcp.html

全部能力

方法 做什么
search 联网搜索(自托管元搜索,无追踪)
read 任意网页 → LLM 友好的 Markdown
diagram / diagram_url Mermaid/PlantUML/Graphviz → SVG/PNG
transcribe 音频 URL → 文字稿(开源 Whisper,自托管)
grammar 30+ 语言语法/拼写/风格检查
pdf 网页或 HTML → 打印级 PDF
translate 文本翻译
ask / compare 单模型问答 / 多模型对比(含真实计量成本与延迟)
models / costs 模型标价 / 同题实际收费
remember / recall 跨会话记忆;带 Key 时跨设备、跨 agent 共享
build 一句话造一个真正在线的应用,约 100 秒返回 HTTPS 网址,归你所有

许可

MIT。成本数据集以 CC BY 4.0 发布。

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