{
  "id": 1446,
  "url": "https://arxiv.org/abs/2606.06545v1",
  "title": "Queen-Bee Agents: A BeeSpec-Centered Architecture for Governed Enterprise MCP Orchestration",
  "summary": "Enterprise agent systems increasingly need to connect large language models to private tools, internal knowledge, and Model Context Protocol (MCP) interfaces. In this setting, raw task capability is insufficient: organizations also require policy enforcement, tenant-scoped isolation, and execution that remains within explicit operational boundaries. We present Queen-Bee, a governed multi-agent architecture in which a Queen control plane retrieves capabilities, plans task-scoped execution, and co",
  "authors": "Dutao Zhang, Liaotian",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-04T07:12:00.000Z",
  "fetched_at": "2026-07-14T14:15:17.101Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1446",
  "original_url": "https://arxiv.org/abs/2606.06545v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}