Bacon Maker

Bacon Maker is a Metadata-First Orchestration Layer designed specifically for AI Agents. Using the Model Context Protocol (MCP), it acts as a secure, state-aware bridge between Large Language Models and complex database infrastructures (SQLite, MySQL, Teradata).

Features

• State-Aware Execution: Robust job tracking and recovery.
• Security First: Strict DOMAIN_ROLE sandboxing for all AI agents.
• Metadata Driven: SQL generation via Jinja2 and CEL evaluation.
• Chaos Resilience: Integrated Chaos Monkey for failure simulation.

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🚀 Quick Start / Installation

1. Environment Setup

Clone the repository and initialize the virtual environment:

git clone https://github.com/clydewatts1/td_mcp_bacon_maker.git
cd td_mcp_bacon_maker
python -m venv venv
.\venv\Scripts\activate

2. Install Dependencies

Install the core orchestration and testing requirements:

pip install -r requirements.txt

3. Configure Secrets

Copy the example environment file and add your database credentials:

cp .env.example .env
# Edit .env with your TERADATA_PWD, MYSQL_PWD, etc.

4. Launch the MCP Interface

Bacon Maker is an MCP-native server. You can interact with its tools using the MCP Inspector:

npx @modelcontextprotocol/inspector python -m bacon_maker

For detailed documentation, see the Technical Reference Manual and the How-To Guide.