Generate multi-model consensus by consulting multiple AI models, applying weighted voting, confidence scoring, and conflict resolution to ensure reliable and accurate answers for complex questions.
Test web applications for Cross-Site Request Forgery vulnerabilities using multiple techniques including token bypass and method manipulation to identify security weaknesses.
Test web applications for Cross-Site Request Forgery vulnerabilities using multiple techniques including token bypass and method manipulation to identify security weaknesses.
An MCP server that queries multiple Ollama models and combines their responses, providing diverse AI perspectives on a single question for more comprehensive answers.
A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.