Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
run.fitllm/fitllmv1.1.0. Ratings and installs below are from this marketplace.
Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.
streamable-http https://fitllm.run/api/mcpSource: https://github.com/click6067-ship-it/fitllm-engine
Registry entry: run.fitllm/fitllm
Copy one of these into your project. Installing also returns the manifest and these snippets.
targets:
- https://api.opensmartroute.ai/api/v1/registry/mcp-run-fitllm-fitllm/manifest # or paste the manifest belowAn Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-run-fitllm-fitllm",
"kind": "tool",
"name": "FitLLM",
"description": "Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.",
"publisher": "click6067-ship-it",
"version": "1.1.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"mcp",
"mcp-server",
"mcp-registry"
],
"languages": [
"en"
],
"supports_tools": true
},
"quality_prior": 0.6,
"examples": [
"Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"repository": "https://github.com/click6067-ship-it/fitllm-engine",
"path": "server.json",
"ref": "1.1.0",
"url": "https://github.com/click6067-ship-it/fitllm-engine",
"key": "run.fitllm/fitllm",
"registry": "https://registry.modelcontextprotocol.io"
}
},
"endpoints": [
{
"protocol": "mcp",
"url": "https://fitllm.run/api/mcp"
}
]
}Fetch it by URL: GET /api/v1/registry/mcp-run-fitllm-fitllm/manifest?version=1.1.0
Star ratings from people who tried it. One review per account; edit yours any time.
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