Server data from the Official MCP Registry
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
About
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
Remote endpoints: streamable-http: https://getrigbase.com/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
4 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Found in Source Code
Found by scanning the linked source code. This listing connects to a hosted endpoint, so none of this runs on your machine: it describes what the server software does where it is hosted.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-getrigbase-rigbase": {
"url": "https://getrigbase.com/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
RigBase data
Measured local-LLM speeds on real home hardware.
getrigbase.com · Live download · Hugging Face · Licence: CC BY 4.0
This repository mirrors the free RigBase dataset:
| Builds | 150 |
| Measured results | 358 |
| Models | 51 |
| Snapshot generated | 2026-10-27 (from getrigbase.com/data/) |
Every number links to its original public source (llama.cpp discussions, llama-bench databases, blogs, GitHub repos, Mia's AI Lab recipes, and similar). RigBase collects and normalises these numbers; it does not re-measure them or invent estimates for the tps column.
Files
builds.csv— one row per measured result (358 rows)builds.json— one object per build with parts + nested resultsLICENSE— CC BY 4.0CITATION.cff— machine-readable citation
Quick start
# CSV
curl -LO https://getrigbase.com/data/builds.csv
# Or clone this repo
git clone https://github.com/getrigbase/rigbase-data.git
import pandas as pd
df = pd.read_csv("builds.csv")
# Plain decode only (drop speculative / MTP / draft runs):
plain = df[df["spec_decode"].fillna("none").eq("none")]
print(plain.groupby("model")["tps"].max().sort_values(ascending=False).head(10))
Columns (CSV)
| column | meaning |
|---|---|
build_slug, build_title, page_url | Build id, name, and RigBase page |
gpus, vram_gb, cpu, ram, power | Hardware as stated by the source |
model, quant, engine | What was run, as stated by the source |
tps | Generation (decode) tokens/sec reported by the source |
spec_decode | none, or the speculative-decoding method (MTP, DFlash, …) |
prefill_tps, prefill_tokens, prefill_metric | Prefill speed only where the source reports one; never estimated |
est_ttft_8k_s_calculated | Calculated (not measured): 8192 / prefill_tps when prefill_tokens ≥ 512 |
ttft_s_measured, ttft_prompt_tokens | TTFT as measured by the source |
source | Original public measurement URL |
source_checked_by_rigbase | yes = RigBase re-read the number at the source |
Full column notes: https://getrigbase.com/data/
Caveats
- Numbers come from different people, engines, quants and settings. Compare rows from the same source when you compute ratios.
- Filter on
spec_decode == "none"for plain decode speed. - Calculator pages on the site (VRAM, KV cache) are arithmetic, not measurements. They are not in this dataset.
Related
- Browse builds: https://getrigbase.com/
- Can I run it? (VRAM + KV cache calculator): https://getrigbase.com/can-it-run/
- DGX Spark recipes: https://getrigbase.com/dgx-spark/
- Submit a correction or build: https://getrigbase.com/submit/
Attribution
Required by CC BY 4.0:
RigBase (getrigbase.com), CC BY 4.0. Each row keeps its original source URL.
Please also keep or cite the per-row source URL when you reuse an individual number.
Updates
The live files at https://getrigbase.com/data/ are the source of truth. This GitHub mirror is refreshed when the site dataset changes. Issues and PRs that fix a sourced number (with a link) are welcome.
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