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StudioTV LLM VRAM Calculator

Official registry AI and agents

Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.

Website

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http studiotv-llm-vram-calculator 'https://studiotvai.com/api/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "studiotv-llm-vram-calculator": {
            "type": "http",
            "url": "https://studiotvai.com/api/mcp"
        }
    }
}

Frequently asked questions

What is StudioTV LLM VRAM Calculator?

Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.

How do I install StudioTV LLM VRAM Calculator?

It runs as a remote server. In Claude Code: claude mcp add --transport http studiotv-llm-vram-calculator 'https://studiotvai.com/api/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does StudioTV LLM VRAM Calculator need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Who maintains StudioTV LLM VRAM Calculator?

It is published by com.studiotvai. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.