ai.boundaryai/boundaryai — Model Context Protocol (MCP) Server
The ai.boundaryai/boundaryai MCP server provides deterministic runtime safety for AI agents. Its described capabilities include scanning for PII, gating tool actions, and verifying LLM output during execution. The goal is to constrain agent behavior at runtime by adding safety checks tied to tool use and model responses.
🛠️ Key Features
- Scan PII
- Gate tool actions
- Verify LLM output
- Deterministic runtime safety for AI agents
🚀 Use Cases
- Safety enforcement for AI agent tool execution
- Runtime verification of LLM outputs
- Protecting against PII-related issues during agent runs
⚡ Developer Benefits
- Clear runtime safety steps for agent execution
- Deterministic behavior referenced as part of safety controls
⚠️ Limitations
- No additional details provided about supported tools, configuration, or integration scope beyond the listed safety checks