An MCP server that provides local, private, synchronous access to Ollama models for prompt answering, text classification, and model listing, without any file access or command execution.
Provides a framework to benchmark, evaluate, and inject real-time guardrails across competing MCP servers, CLIs, and AI agent tools. It enables recursive self-improvement by mining failures and synthesizing weakest valid guardrails.
Automated red-teaming and reliability-auditing for AI agents, exposed as an MCP server. It attacks and scores agents for prompt injection, tool misuse, exfiltration, and unreliable behavior.
A comprehensive MCP proxy server that bridges MCP clients with Ollama local language models, providing advanced features like RAG integration, context management, caching, and production-ready security.
An MCP server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question for more comprehensive answers.
MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for Ai systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.