Nodegrove VRAM: can I run it?
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
Install
Run one of the commands below, then add the client config underneath.
npmnpx -y @nodegrove/vram-mcpStreamable HTTPhttps://mcp.nodegrove.io/mcp
Client configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
mcpServers{
"mcpServers": {
"vram-mcp": {
"command": "npx",
"args": [
"-y",
"@nodegrove/vram-mcp"
]
}
}
}
About this server
Nodegrove VRAM: can I run it? is listed in the AI & ML category of the MCPNav directory. It is distributed as npm, Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the Nodegrove VRAM: can I run it? MCP server?
Nodegrove VRAM: can I run it? is an MCP server by nodegrove. Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
How do I install Nodegrove VRAM: can I run it??
Install it with: npx -y @nodegrove/vram-mcp. Then add the JSON config to your client's MCP settings and restart the client.
Is Nodegrove VRAM: can I run it? free to use?
The MCP server itself is free to install. The source is public on https://github.com/nodegrove/vram-mcp. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support Nodegrove VRAM: can I run it??
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.