Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Live GPU prices, VRAM requirements and local LLM hardware planning from VRAMGlass.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http vramglass https://mcp.vramglass.com/mcp --header 'Authorization: Bearer {api_key}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"vramglass": {
"url": "https://mcp.vramglass.com/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"vramglass": {
"type": "http",
"url": "https://mcp.vramglass.com/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain vramglass.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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
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.
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.
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" } } } }
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.
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.
The assistant picks the right tool by itself; you don't need to remember these names.
| Tool | What it returns |
|---|---|
get_prices | Current prices for GPUs or memory on eBay, Xianyu and Amazon Japan: median, price range and listing count |
get_price_history | Daily price history, from the last 7 days up to a year |
get_price_index | The GPU price index and its price tiers |
search_hardware | Find GPUs and memory by name |
search_models | Find LLMs and their versions by name |
models_for_gpu | Which models a GPU can run, and how long a context fits |
gpus_for_model | How much VRAM a model needs, which cards can run it and roughly how fast |
recommend_build | PC 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_deals | The eBay deals shown on GPU and memory pages: the same rule-filtered listings, up to six |
get_rent_prices | Hourly rental prices on RunPod, Vast.ai and Compshare |
All tools are read-only. Results include a page_url and a cite line for attribution.
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.
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.