com.getrigbase/rigbase
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Publisher-provided title
RigBase
Publisher-provided description
Measured local-LLM tok/s on home AI rigs. Search builds, can-it-run, best GPU; sourced + linked.
Summary by lookupd
Lets an agent query measured local-LLM tok/s results for home AI builds, check whether a GPU setup can run a model, and compare cost…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http rigbase https://getrigbase.com/mcp
Codex, remote (streamable-http)
codex mcp add rigbase --url https://getrigbase.com/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"rigbase": {
"url": "https://getrigbase.com/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (4 tools)
Publisher-provided 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, engcan_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 (wbest_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 canoget_buildFetch one RigBase build by slug (e.g. "dual-3090-ryzen-3700x"). Returns parts, measured results, source credit and canonical URL.
Details
- Version: 1.0.1
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 342 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/getrigbase/rigbase-data
- Website: https://getrigbase.com/mcp-server/
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https://api.lookupd.com/mcp