Agent♥︎Age
Catalog

PolicyLayer

Official

by policylayer

The judgment layer for AI agents: playbooks served, policy questions answered by your team.

MCP Server: com.policylayer/policylayer

The com.policylayer/policylayer MCP server provides a “judgment layer” for AI agents. It serves AI agent playbooks and supports answering policy questions handled by your team. The server is positioned for managing and operationalizing policy decisions within agent workflows.

🛠️ Key Features

  • Judgment layer for AI agents
  • Serves playbooks
  • Answers policy questions by your team
  • Source fields: name, description

🚀 Use Cases

  • AI agent policy decision support
  • Providing playbooks to agent workflows
  • Handling policy questions answered by a team

⚡ Developer Benefits

  • Clear separation of “judgment” logic for AI agents
  • Tooling that aligns with team-owned policy questions
  • Compatible with MCP catalog discovery via slug and name

⚠️ Limitations

  • Available data does not include tool count, topics, or additional implementation details.
PolicyLayer - agentage MCP Catalog