原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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VRAMGlass

作者:vramglass版本 1.0.0i★ –i在云端运行
注册名称com.vramglass/mcp

安装

概览

作者提供的说明(英文原文)

Live GPU prices, VRAM requirements and local LLM hardware planning from VRAMGlass.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

在终端中运行这条命令

claude mcp add --transport http vramglass https://mcp.vramglass.com/mcp --header 'Authorization: Bearer {api_key}'

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "vramglass": {
      "url": "https://mcp.vramglass.com/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "vramglass": {
      "type": "http",
      "url": "https://mcp.vramglass.com/mcp",
      "headers": {
        "Authorization": "Bearer {api_key}"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 HTTP header
    API key from vramglass.com/account/mcp. Leave empty if your client signs in with OAuth.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 vramglass.com 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 87 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7282 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7282 个服务器的 71% 更新
  • 基础检查结果等于或优于此分类中其他 7282 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

VRAMGlass 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.0)于16天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

VRAMGlass MCP Server

Live GPU prices, VRAM requirements and local LLM hardware planning for your AI assistant, from VRAMGlass.

Connect it to Grok Bot, Claude, ChatGPT, Claude Code, Codex, Cursor or any MCP client, then ask in plain language. Answers come from the same data as vramglass.com, with links back to the source.

https://mcp.vramglass.com/mcp

Remote server, Streamable HTTP, read-only. Free; a VRAMGlass account is required.

Developer docs · 简体中文文档 · 日本語ドキュメント · MCP page · Methodology

What you can ask

  • "What does an RTX 3090 cost on eBay right now?"
  • "How much VRAM does Qwen3.8 27B need at 4-bit with a 32K context?"
  • "Which models can a DGX Spark run, and how fast?"
  • "Build me a PC for DeepSeek V4 Flash under $5,000."
  • "Are used GPU prices going up or down this month?"
  • "How much is renting an A100 per hour?"

For example, asked for RTX 3090 prices on October 22, 2026, the server returned a median eBay (US) asking price of $1,799 across 110 listings, ¥8,600 on Xianyu and ¥416,420 on Amazon.co.jp, each with its publish time and a link to the VRAMGlass page.

Connect

With an API key (recommended)
  1. Sign up or log in at vramglass.com/login. It's free; an email address is enough.
  2. Create a key under Your account → MCP connections. Give it a name, choose how long it stays valid and copy it right away; it is shown only once.
  3. Send this to your AI, with YOUR_KEY replaced by your key. Grok Bot, Claude Code, Codex, Manus, WorkBuddy and other assistants that can change their own settings add the server themselves:
   Please add a remote MCP server:

Name: VRAMGlass URL: https://mcp.vramglass.com/mcp Header: Authorization: Bearer YOUR_KEY Once it's added, try it by checking what an RTX 4090 costs right now.

Manual configuration

Any client needs two things: the server URL and the header Authorization: Bearer YOUR_KEY. Choose HTTP (Streamable HTTP) as the transport.

Claude Code:

claude mcp add --transport http vramglass https://mcp.vramglass.com/mcp --header "Authorization: Bearer YOUR_KEY"

Cursor and other clients that use mcp.json:

{

"mcpServers": { "vramglass": { "url": "https://mcp.vramglass.com/mcp", "headers": { "Authorization": "Bearer YOUR_KEY" } } } }

With OAuth (no key)

Connectors in Claude (web and desktop) and ChatGPT can't take a key, so they sign in instead. Any other client that supports MCP OAuth works the same way.

  • Claude: Settings → Connectors → Add custom connector, and paste the server URL.
  • ChatGPT: Settings → Apps, turn on developer mode, then create an app with the server URL.

Your client opens the VRAMGlass login page. Log in with an email code or Google (an account is created if you don't have one), check the app name and return address on the consent page, and click Allow. The client renews access by itself; after 30 days without use, or 180 days after you authorized it, you sign in again.

Tools

The assistant picks the right tool by itself; you don't need to remember these names.

ToolWhat it returns
get_pricesCurrent prices for GPUs or memory on eBay, Xianyu and Amazon Japan: median, price range and listing count
get_price_historyDaily price history, from the last 7 days up to a year
get_price_indexThe GPU price index and its price tiers
search_hardwareFind GPUs and memory by name
search_modelsFind LLMs and their versions by name
models_for_gpuWhich models a GPU can run, and how long a context fits
gpus_for_modelHow much VRAM a model needs, which cards can run it and roughly how fast
recommend_buildPC builds for a model (GPU, CPU, motherboard, RAM, PSU) with an optional budget, prices and buy links; GPU options instead when the model fits entirely in VRAM
get_ebay_dealsThe eBay deals shown on GPU and memory pages: the same rule-filtered listings, up to six
get_rent_pricesHourly rental prices on RunPod, Vast.ai and Compshare

All tools are read-only. Results include a page_url and a cite line for attribution.

Keys, access and usage

  • A key or an authorized app can only read public price and spec data. It can't see your email, price alerts or watchlist, and it can't change anything in your account.
  • Use one key per tool so you can turn each one off separately. Each account can have up to 5 keys, each valid for up to one year.
  • Revoke a key or disconnect an app under MCP connections; it stops working within 30 seconds.
  • It's free. If you call it too often you'll be rate-limited briefly, then it recovers on its own. For heavy use, email hello@vramglass.com.

Data and citation

  • Prices are the median asking price of listings currently for sale, not sold prices. eBay (US), Xianyu (China) and Amazon.co.jp (Japan) are counted separately.
  • Prices update every 6 hours. A round with too few valid listings doesn't publish a price.
  • When you cite the data, credit "VRAMGlass", link back to the relevant page and state the marketplace and date of each price.
  • VRAM and speed figures are planning estimates, not benchmarks. See the methodology.
  • Buy and rental links carry VRAMGlass referral parameters. The price you pay stays the same.

About this repository

This repository holds the documentation and the MCP Registry metadata (server.json) for the hosted VRAMGlass MCP server. The server runs on VRAMGlass infrastructure; its source code is not published here, and there is nothing to install.

The server is listed in the official MCP Registry as com.vramglass/mcp, verified through the vramglass.com domain.

  • Questions and data corrections: hello@vramglass.com
  • Documentation issues: open an issue
  • Security reports: see SECURITY.md
  • Embeddable price cards for websites: vramglass/widgets

The contents of this repository are licensed under MIT. The hosted service and its data are provided under the VRAMGlass terms, separately from this license.

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