# Automated Analysis

MobSF MCP is a Node.js-based implementation of the Model Context Protocol that provides a standardized interface for the Mobile Security Framework (MobSF) and supports integration with automated workflows and third-party tools.

The Volatility3 MCP Server is a tool that connects the MCP client with the Volatility3 memory forensics framework, simplifying complex memory analysis operations through natural language interaction.

Auto Causal Inference is a project that uses large language models (LLMs) to automatically perform causal inference. Users only need to specify the treatment variable and the outcome variable, and the system can automatically complete the full - process analysis, including variable role identification, causal graph construction, effect estimation, and model validation. The project provides two agent architectures (LangGraph and MCP) to achieve this function, which is particularly suitable for causal problem analysis in the banking scenario.