MCP AI SOC Sher
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AI SOC Security Threat analysis using MCP Server
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- 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
- SOC Monitoring: Security Operations Center monitoring capabilities
Install via pip install mcp-ai-soc-sher, set the OPENAI_API_KEY environment variable (or configure it in a .env file), then run the server from the command line using mcp-ai-soc --type local --stdio (for STDIO) or --sse (for SSE) or --type remote (for REST API). You can also use the Python API by importing LocalMCPServer from mcp_ai_soc_sher.local. Send queries via HTTP POST to /api/sql with an X-API-Key header for the REST interface.
A powerful AI-driven Security Operations Center (SOC) Text2SQL framework based MCP Server (Local and Remote) for converting natural language Prompts to SQL queries dynamically, with integrated security threat analysis and monitoring.
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
- SOC Monitoring: Security Operations Center monitoring capabilities
Installation
pip install mcp-ai-soc-sher
Quick Start
```python
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