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    • A
      license
      Not graded
      quality
      B
      maintenance
      An identity-aware authorization layer for AI agents that enforces OAuth scopes, contextual policies, and human approval workflows before executing sensitive actions. It provides controlled execution and audit trails for MCP tools.
      23,851 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to securely invoke tools by enforcing identity proof, capability verification, and risk scoring on every request, blocking unsafe calls before they execute.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to safely call enterprise tools through a governed MCP gateway with permission enforcement, blast-radius controls, input validation, and a full audit trail for every invocation.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Deterministic policy enforcement for AI agent tool calls. It evaluates every tool call against user-defined rules before execution, with no LLM in the authorization path.
      4
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.
      1
      MIT No Attribution
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables secure runtime mediation of tool requests from MCP-connected AI agents, enforcing least-privilege policies, validating intent and inputs, detecting multi-step attacks and information leaks, and supporting explainable decisions, audit trails, and human approval for sensitive actions.
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