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PopNx MCPMCP servers for people who use AI · explained in plain words

RigBase

by getrigbaseversion 1.0.1i★ –iRuns in the cloud
Registry namecom.getrigbase/rigbase

Install

Overview

Description from the maker (original English)

Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://getrigbase.com/mcp

Run this in your terminal

claude mcp add --transport http rigbase https://getrigbase.com/mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://getrigbase.com/mcp

Menu 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.

What it can do

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_builds

    Search 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_run

    Ask 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_model

    Return 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_build

    Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain getrigbase.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 63 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 4 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5653 servers in this category
  • Published to the registry more recently than 99% of the other 5653 servers in this category
  • Basic checks equal to or better than 100% of the other 5653 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is RigBase safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.1) reached the registry today.

Which apps can use it?

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.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

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.

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:

Builds150
Measured results358
Models51
Snapshot generated2026-10-27 (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 results
  • LICENSE — CC BY 4.0
  • CITATION.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)

columnmeaning
build_slug, build_title, page_urlBuild id, name, and RigBase page
gpus, vram_gb, cpu, ram, powerHardware as stated by the source
model, quant, engineWhat was run, as stated by the source
tpsGeneration (decode) tokens/sec reported by the source
spec_decodenone, or the speculative-decoding method (MTP, DFlash, …)
prefill_tps, prefill_tokens, prefill_metricPrefill speed only where the source reports one; never estimated
est_ttft_8k_s_calculatedCalculated (not measured): 8192 / prefill_tps when prefill_tokens ≥ 512
ttft_s_measured, ttft_prompt_tokensTTFT as measured by the source
sourceOriginal public measurement URL
source_checked_by_rigbaseyes = 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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