StudioTV LLM VRAM Calculator MCP

An official MCP server for StudioTV's LLM VRAM Calculator that allows AI agents to query GPU memory requirements, KV cache sizes, and hardware compatibility for any Hugging Face model. It provides programmatic access to model configurations, weight sizes across quantization formats, and real-time GPU rental pricing data.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-18Operated by StudioTV

MCP endpoint (Streamable HTTP)

https://studiotvai.com/api/mcp

Vendor documentation

What you can do with it

Check if a specific LLM fits on a user's GPU
Calculate VRAM requirements for different quantization formats
Estimate GPU count needed for inference or fine-tuning
Retrieve model metadata and configuration from Hugging Face

Tools advertised by the last live check:

estimate_vram
models_that_fit
gpu_prices

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

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

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add studiotv-llm-vram-calculator-mcp --url https://studiotvai.com/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable studiotv-llm-vram-calculator-mcp in your MCP settings.

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "studiotv-llm-vram-calculator-mcp": {
      "type": "streamableHttp",
      "url": "https://studiotvai.com/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start studiotv-llm-vram-calculator-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http studiotv-llm-vram-calculator-mcp https://studiotvai.com/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

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

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "studiotv-llm-vram-calculator-mcp": {
      "serverUrl": "https://studiotvai.com/api/mcp"
    }
  }
}

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