AI Safety MCP Server

Example Use Cases

• 1

  Consistent and composable AI Safety evaluation tools.

• 2

  Mechanistic interpretability and model introspection capabilities.

• 3

  Semantic search and governance document retrieval in AI Safety contexts.

Description

This MCP server offers a unified interface to access AI Safety research corpora, perform consistent safety evaluations using LLM classifiers, and conduct mechanistic interpretability analyses on local models. It supports modular tools for semantic search, risk assessment, model introspection, and governance, enabling composable and auditable AI Safety workflows. The server is designed for local-first deployment with optional cloud API integration for evaluations, facilitating safer and more transparent AI research and multi-agent system operations.