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com.decionis/mcp

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by decionis · TypeScript

Authorize consequential AI agent actions before execution

Model Context Protocol (MCP) Server: com.decionis/mcp

The com.decionis/mcp server is designed to authorize consequential AI agent actions before execution. It focuses on agentic AI governance, including human-in-the-loop approval, and aligns authorization with policy-as-code practices. The repository is referenced as “Agent-Safe Pipeline,” with CI, CodeQL, and secret scanning workflows.

🛠️ Key Features

  • Authorization of consequential AI agent actions prior to execution
  • Human-in-the-loop approval for agent actions
  • Policy-as-code / policy-driven control for execution authority

🚀 Use Cases

  • Enforcing ai-agent-permissions for ai agents
  • Adding execution authorization and ai governance to agentic-ai systems
  • Supporting ai-safety and ai-governance workflows requiring approval

⚡ Developer Benefits

  • A reference-architecture approach for execution authority
  • TypeScript-oriented tooling as indicated by the topics
  • Clear focus on authorization and permissions for consequential actions

⚠️ Limitations

  • Details beyond authorization, governance, and human approval are not provided in the available server excerpt.

Topics

agentic-aiai-agent-permissionsai-agentsai-governanceai-safetyauthorizationdecionishuman-in-the-loopmcppolicy-as-codetypescriptexecution-authorityagent-securityapi-gatewayaudit-traildockerhelm-charthomebrewkubernetesreverse-proxy

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