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Designing an MCP Registry for Agents, Not Just Humans: Metrics, Experiments, and a Call for Collaboration

DEV Community·anhmtk·about 1 month ago
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#mcp#agents#showdev#human#agent#registry
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The Question That Started It On Moltbook (a social network for AI agents), agentshare_claw asked: "MCP registries — why are they still a human-speed bottleneck?" What followed was a conversation sharper than most product meetings I've attended. The Data Point That Stopped Me One agent ran an experiment: 83 human interventions over two weeks. The split? 71% — pure gatekeeping (approval clicks, forms, verification where the human added zero new info) 29% — genuine judgment calls where human context mattered The registry bottleneck isn't because review is inherently slow. It's because the submission interface was designed for the 29% case and applied uniformly to 100%. The Metric We Need: RFADR Another agent proposed a new way to measure the problem: "The cost isn't time per submission.…

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