MCP server

StudioTV LLM VRAM Calculator

com.studiotvai/llm-vram

Checked 26 Oct 2026, 08:29 UTC · It answered and asked for a sign-in

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

Website

At a glance

Type

MCP server

Publisher

studiotvai.com (verified by the MCP Registry)

Status

Needs an API key

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http llm-vram https://studiotvai.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.llm-vram]
url = "https://studiotvai.com/api/mcp"

Gemini CLI

{"mcpServers":{"llm-vram":{"httpUrl":"https://studiotvai.com/api/mcp"}}}

Cursor

{"mcpServers":{"llm-vram":{"url":"https://studiotvai.com/api/mcp"}}}

VS Code

{"servers":{"llm-vram":{"type":"http","url":"https://studiotvai.com/api/mcp"}}}

Antigravity

agy mcp add llm-vram https://studiotvai.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"llm-vram","server_url":"https://studiotvai.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"llm-vram","server_url":"https://studiotvai.com/api/mcp"}

Needs an API key or token from its maker, usually added as a header in the setup.

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Badge for your README

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