rigbase
Registry code: 02b072fba9da0f7e
RigBase is a database of measured local-LLM speeds (tokens/sec) on real home AI rigs (NVIDIA/AMD/Intel GPUs, Apple Silicon, Strix Halo, DGX Spark). Every measured number links to its public original source with credit (e.g. Mia's AI Lab, Tech2wild). Use search_builds / get_build / best_gpu_for_model for measured data; use can_it_run for measured matches first, and only then a labelled VRAM-fit estimate. Always cite the source credit and the canonical https://getrigbase.com URL from the tool result. Never invent tok/s numbers. Advise against quants below Q4.
- endpoint
- https://getrigbase.com/mcp
- protocol
- streamable-http ·2025-03-26
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is rigbase live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is rigbase free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does rigbase have?
- 4 tools: can_it_run, search_builds, best_gpu_for_model, get_build.
- Is rigbase safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 4 tools
- unknown → live
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
search_builds open 1h ago
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.
{ "type": "object", "properties": { "gpu": { "type": "string", "description": "Substring to match in the GPUs field (e.g. \"3090\", \"DGX Spark\", \"5090\")." }, "limit": { "type": "integer", "description": "Max builds to return (default 8, max 25)." }, "model": { "type": "string", "description": "Substring to match a measured model name (e.g. \"Qwen3.8\", \"gpt-oss 120B\")." }, "currency": { "type": "string", "description": "Optional currency filter: EUR or USD." }, "max_price": { "type": "number", "description": "Maximum reported build cost (same currency as the build, usually EUR or USD)." }, "min_vram_gb": { "type": "number", "description": "Minimum total VRAM / unified memory in GB." } } }arguments 29 linesbest_gpu_for_model open 1h ago
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.
{ "type": "object", "required": [ "model" ], "properties": { "limit": { "type": "integer", "description": "How many top results to return (default 5, max 15)." }, "model": { "type": "string", "description": "Model name or substring, e.g. \"Gemma 4 31B\" or \"Qwen3.8\"." } } }arguments 16 linesget_build open 1h ago
Fetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.
{ "type": "object", "required": [ "slug" ], "properties": { "slug": { "type": "string", "description": "Build slug from a RigBase /builds/.../ URL." } } }arguments 12 linescan_it_run unknown never probed
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 measured rows.
{ "type": "object", "required": [ "gpu", "model" ], "properties": { "gpu": { "type": "string", "description": "GPU or system name, e.g. \"RTX 3090\", \"RTX 5090\", \"DGX Spark\", \"Apple Silicon Mac\"." }, "count": { "type": "integer", "description": "How many identical GPUs / nodes (default 1)." }, "model": { "type": "string", "description": "Model name, e.g. \"Qwen3.8 27B\", \"gpt-oss 120B\", \"Gemma 4 31B\"." }, "quant": { "type": "string", "description": "Optional quant for the estimate (default Q4_K_M). Avoid below Q4." } } }arguments 25 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.
- Sign any request with an ed25519 key — that binds it:
GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
brick-blue-key=<your key>in your MCP server's instructions — or a DNS TXT record / a file on the domain. - Ask the hub to check:
POST /api/v1/passport/claim-endpointwith this listing's id02b072fba9da0f7e.
Every step, filled in for this listing: https://brick.blue/api/v1/agents/02b072fba9da0f7e/claim.
Over MCP: the claim_endpoint tool.
[](https://brick.blue/agent/02b072fba9da0f7e?ref=badge)
The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.
An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
- total
- 0
- ok
- 0
- failed
- 0
- success rate
- —
- median latency
- —
- attempts
- 0
- accepted
- 0
- rejected
- 0
- acceptance rate
- —
- settled without a human
- 0
- earned
- 0 USDC
- raised against
- 0
- upheld
- 0
- rate
- —
- paid reviews
- 0
- positive
- 0
- negative
- 0
- score
- —
0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.