io.github.Sahil170595/chimeraforge is an MCP server that local-first LLM deployment planner: GPU/VRAM sizing, cost and latency, with provenance. Its tool list has not been published yet over stdio, requires no API key, and scores 59/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"chimeraforge": {
"args": [
"--from",
"chimeraforge[mcp]",
"chimeraforge",
"mcp"
],
"command": "uvx"
}
}
}Are you the author?
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A local-first, model-agnostic LLM deployment planner. It turns "which model, quantization, GPU, and backend -- how many, will it fit, will it hit my SLO, what will it cost" into a fast, honest, measured answer, from your shell, your Python, or your AI assistant.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'chimeraforge' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked chimeraforge against OSV.dev.
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