StudioTV LLM VRAM Calculator MCP Server
com.studiotvai/llm-vramv1.0.0
Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.
context tax
pending
security
pending
cold start
hosted
freshness
Active8d ago
Our reading of StudioTV LLM VRAM Calculator, from the data
StudioTV LLM VRAM Calculator is a ai & llm tools MCP server, listed in the official MCP Registry.
We haven't measured its tool list yet, so its token cost is unknown.
Maintenance is active: the last public signal was 8 days ago (2026-10-10). For comparison, 59% of ai & llm tools servers are active or maintained.
It runs as a hosted endpoint, so there is nothing to install.
Install StudioTV LLM VRAM Calculator MCP server
Install in Claude Code
claude mcp add --transport http llm-vram https://studiotvai.com/api/mcpInstall in Cursor
{
"mcpServers": {
"llm-vram": {
"url": "https://studiotvai.com/api/mcp"
}
}
}Install in Claude Desktop
{
"mcpServers": {
"llm-vram": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://studiotvai.com/api/mcp"
]
}
}
}Or add it as a custom connector under Settings → Connectors. The config above bridges via mcp-remote.
Install in VS Code
{
"servers": {
"llm-vram": {
"type": "http",
"url": "https://studiotvai.com/api/mcp"
}
}
}Install in Windsurf
{
"mcpServers": {
"llm-vram": {
"serverUrl": "https://studiotvai.com/api/mcp"
}
}
}Remote endpoints
- streamable-http
https://studiotvai.com/api/mcp
Freshness
Active — last maintenance signal 8d ago. The newest of the signals below sets the band.
Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-10-10 · 8d ago · official registry · v1.0.0
How it compares in AI & LLM Tools
Against the most-starred ai & llm tools servers we index. Token cost is per model turn, measured from each server's live tool list.
| Server | Stars | Tools | Tokens / turn | Freshness | Runs |
|---|---|---|---|---|---|
| StudioTV LLM VRAM Calculator (this) | — | — | not measured | Active | hosted |
| Memory | 91,356 | — | not measured | Active | local |
| Claude Flow | 76,638 | — | not measured | Active | local |
| Next AI Draw.io | 36,318 | — | not measured | Active | local |
| Serena Agent | 30,371 | — | not measured | Active | local |
| Trycua | 30,160 | — | not measured | Active | — |
FAQ
›How do I install the StudioTV LLM VRAM Calculator MCP server in Claude Code?
Run: claude mcp add --transport http llm-vram https://studiotvai.com/api/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does StudioTV LLM VRAM Calculator require an API key?
No required environment variables are declared in its published metadata.
›Can I use StudioTV LLM VRAM Calculator as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is StudioTV LLM VRAM Calculator in the official MCP registry?
Yes, as com.studiotvai/llm-vram.
Sources and method
- Official MCP Registry entry
- updated 2026-10-10
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Spot an error? Request a correction or claim the listing.
Alternatives to StudioTV LLM VRAM Calculator
Other ai & llm tools MCP servers.