MCP_AI_SOC_Sher
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MCP AI SOC Sher is a powerful AI-driven Security Operations Center (SOC) Text2SQL framework based on MCP Server for converting natural language prompts to SQL queries dynamically, with integrated security threat analysis and monitoring.
MCP AI SOC Sher is designed to bridge the gap between natural language processing and database management by converting natural language prompts into SQL queries. This framework is particularly useful for security operations centers (SOC) as it integrates security threat analysis and monitoring capabilities. It supports multiple interfaces such as STDIO, SSE, and REST API, allowing for flexible deployment options. The system is capable of connecting to various databases, including SQLite and Snowflake, and provides real-time feedback on query processing. Additionally, it includes built-in security features to analyze SQL queries for potential threats, making it a robust tool for managing and securing database operations.
Features
- Text2SQL Conversion: Convert natural language queries to optimized SQL.
- Multiple Interfaces: Support for STDIO, SSE, and REST API.
- Security Threat Analysis: Built-in SQL query security analysis.
- Multiple Database Support: Connect to SQLite or Snowflake databases.
- Streaming Responses: Real-time query processing feedback.
