Nodegrove VRAM: can I run it?
io.nodegrove/vram-mcp
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
Connect this server
Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.
{
"mcpServers": {
"vram-mcp": {
"command": "npx",
"args": [
"-y",
"@nodegrove/vram-mcp@1.1.5"
]
}
}
}A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.
- Category
- AI & ML
- Version
- 1.1.5
- Registry
- active
- Published
- 11/3/2026
Remotes
- streamable-http
https://mcp.nodegrove.io/mcp
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Add the badge to your site
Show visitors that Nodegrove VRAM: can I run it? is listed here — it’s also the link we check for a free listing.
HTML — for your website
<a href="https://serverdex.io/server/io-nodegrove-vram-mcp?utm_source=badge"><img src="https://serverdex.io/brand/badge.svg" alt="Nodegrove VRAM: can I run it? — listed on Serverdex" width="123" height="40" loading="lazy"></a>Recommended. A dofollow link from your own domain is the one that counts for search engines, and it's the link we check for a free listing.
Markdown — for your README
[](https://serverdex.io/server/io-nodegrove-vram-mcp?utm_source=badge)Nice for visibility, but GitHub marks README links nofollow, so it doesn't pass authority. Use the HTML badge on your site as well.