Ls Server

MCP server (FastMCP) that exposes two tools:

• query_struct_data — Generates/validates/executes SQL queries via the SQL agent.
• search_kb — Answers questions grounded in the RAG knowledge base via the RAG agent.

Quick start

1) Install dependencies

pip install -r requirements.txt

2) Configure environment

Create a .env file (example values shown in .env.example if present) and set any credentials/connection strings required by:

• SQL Server (ODBC / connection settings)
• LLM provider (OpenAI / Groq / Ollama)
• Azure Search (if used)

3) Run the MCP server

python main.py

Server runs on:

• HTTP transport
• 0.0.0.0:8000

MCP inspector

Inspect the exposed tools for main.py:

mcp inspector --file main.py

If your installation uses the module form:

python -m mcp_inspector --file main.py

Project structure

• main.py — MCP server + tool definitions
• RAG_AGENT/ — RAG agent implementation
• SQL_AGENT/ — SQL agent implementation
• config/ — configuration / LLM factory

Tests

pytest -q