Model Context Protocol (MCP) Server: ai.boundaryai/boundaryai
This MCP server provides deterministic runtime safety for AI agents. It focuses on scanning PII, gating tool actions, and verifying LLM output to help ensure agent behavior adheres to expected safety constraints during execution.
🛠️ Key Features
- Deterministic runtime safety for AI agents
- PII scanning
- Tool action gating
- LLM output verification
🚀 Use Cases
- Running AI agents where PII must be identified and handled safely
- Preventing or controlling tool actions during agent execution
- Adding verification steps to LLM outputs in agent pipelines
⚡ Developer Benefits
- Clear safety controls for runtime agent behavior
- Deterministic approach to safety enforcement
- Centralized checks for PII, tool gating, and LLM output verification
⚠️ Limitations
- Only the listed safety capabilities are described in the available data (PII scanning, tool gating, LLM output verification).