MCP AI SOC Server

Example Use Cases

• 1

  Convert natural language security or analytics requests into optimized SQL queries for execution against SQLite or Snowflake databases.

• 2

  Perform automated SQL security analysis and detect potential SQL injection or sensitive-table access before executing queries.

• 3

  Streamed, real-time feedback and SOC monitoring (STDIO, SSE, or REST) during query generation and execution workflows.

Description

This project provides a local or remote MCP server that converts natural language queries to optimized SQL, with built-in security threat analysis and monitoring tailored for Security Operations Center (SOC) workflows. It supports multiple interfaces (STDIO, SSE, REST) and multiple databases (SQLite, Snowflake), and can stream real-time processing feedback while optionally executing queries. The framework is useful for generating safe, auditable SQL, detecting SQL injection or sensitive table access, and integrating SOC monitoring into automated agents.