AI & Machine Learning
fitllm.run
Helps determine which local LLMs can run on specific GPU or Apple Silicon hardware.
ENDPOINT 1
https://fitllm.run/api/mcp
MCP server metadata
- Name
- fitllm
- Version
- 1.1.0
Known tools 3
check_llm_fitCheck whether a specific local LLM fits in the memory of a specific GPU or Apple Silicon Mac.
Inferred read-onlywhat_fits_on_hardwareRank which popular local LLMs fit on a given GPU or Apple Silicon Mac (at ~4-bit quantization, 8K context) — models that fit come first, biggest first, with max context each.
Inferred read-onlylist_supportedList the built-in model names and hardware names this fit-checker knows (for mapping user wording to exact names).
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.fitllm]
url = "https://fitllm.run/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"fitllm": {
"type": "http",
"url": "https://fitllm.run/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: fitllm
Remote MCP URL: https://fitllm.run/api/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"fitllm": {
"url": "https://fitllm.run/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"fitllm": {
"type": "http",
"url": "https://fitllm.run/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "fitllm",
"transport": "streamable-http",
"url": "https://fitllm.run/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for fitllm.run was fetched 2026-08-04T00:47:42.120Z and is being refreshed.
fitllm.run is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.