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Taste

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by with0utwhy

Expert review for AI agents. On-chain proof of human review.

The app.humantaste/taste-mcp MCP server provides expert, human-reviewed evaluation for AI agents. It enables pay-per-call human work delivered over MCP plus x402, with vetted humans reviewing AI agent outputs across multiple media types. The project is described as a public manifest for discovery, with no install steps required.

🛠️ Key Features

  • Human experts perform review of AI agent outputs
  • Pay-per-call human work over MCP + x402
  • Reviews supported across text, images, video, audio, and social posts
  • Public discovery via a server.json manifest; server source maintained privately
  • Manifest repository is hosted (nothing to install)

🚀 Use Cases

  • Human-in-the-loop quality or safety review for agent outputs
  • Content moderation-style review across mixed media
  • Evidence tracking for “on-chain proof of human review”

⚡ Developer Benefits

  • MCP registry discovery using server.json
  • Consistent review workflow for AI agent results via MCP
  • Topics include human-in-the-loop and human-judgment concepts

⚠️ Limitations

  • Server source is maintained privately; only the public manifest repository is described
  • Reviews are described as pay-per-call human work, with no deployment details beyond “hosted” and “nothing to install”

Topics

agenticai-agentscontent-moderationeu-ai-acthuman-expertshuman-in-the-loophuman-judgmenthuman-reviewmcpmodel-context-protocolx402