Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add --transport http studiotv-llm-vram-calculator https://studiotvai.com/api/mcp~/.codex/config.toml
[mcp_servers.studiotv-llm-vram-calculator]
url = "https://studiotvai.com/api/mcp"
# codex mcp add studiotv-llm-vram-calculator --url https://studiotvai.com/api/mcp~/.cursor/mcp.json
{
"mcpServers": {
"studiotv-llm-vram-calculator": {
"url": "https://studiotvai.com/api/mcp"
}
}
}.vscode/mcp.json
{
"servers": {
"studiotv-llm-vram-calculator": {
"type": "http",
"url": "https://studiotvai.com/api/mcp"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"studiotv-llm-vram-calculator": {
"httpUrl": "https://studiotvai.com/api/mcp"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"studiotv-llm-vram-calculator": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://studiotvai.com/api/mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"studiotv-llm-vram-calculator": {
"url": "https://studiotvai.com/api/mcp"
}
}
}