Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://getrigbase.com/mcpRun this in your terminal
claude mcp add --transport http rigbase https://getrigbase.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"rigbase": {
"url": "https://getrigbase.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"rigbase": {
"type": "http",
"url": "https://getrigbase.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://getrigbase.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
search_buildsSearch RigBase measured home AI builds. Filter by GPU name, model name, minimum VRAM (GB), and/or maximum build cost. Returns top matches with tok/s, quant, engine, source credit and canonical getrigbase.com URL. Never invents numbers.
can_it_runAsk whether a given GPU setup can run a model. Returns measured RigBase results when available; otherwise a VRAM-fit estimate clearly labelled as an estimate (weights arithmetic, not a measured speed). Advises against quants below Q4. Always includes source credit and URLs for me
best_gpu_for_modelReturn the fastest measured RigBase result for a model, plus tok/s per euro where a build cost or known GPU street price exists. Includes source credit and canonical URL.
get_buildFetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified against the domain getrigbase.com (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 63 ms (HTTP 200)
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Read 4 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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# CSV
curl -LO https://getrigbase.com/data/builds.csv
git clone https://github.com/getrigbase/rigbase-data.git
import pandas as pd
df = pd.read_csv("builds.csv")
plain = df[df["spec_decode"].fillna("none").eq("none")] print(plain.groupby("model")["tps"].max().sort_values(ascending=False).head(10))
| 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/
spec_decode == "none" for plain decode speed.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.
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.