22-model consensus in a translation MCP: should agents see the disagreement?
Pure-Ad7786 · reddit · 2026-09-10
A developer at MachineTranslation.com shares a design from their paid remote MCP server: a translation request is sent to 22 models and the consensus version is returned, aimed at reducing silent failures when one model drops a clause or produces something odd.
They're now questioning the design. The MCP hides most disagreement, but disagreement may be the more useful signal — e.g., 20 models agree while 2 diverge completely. Open questions: return only consensus, consensus plus disagreement/confidence info, or let the agent decide whether human review is needed?
Known tradeoffs: 22 models mean higher latency and cost, and consensus can pull a genuinely better model toward the average. They ask how others would design multi-model MCPs — expose disagreement or abstract it away?
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