MCP Agent System

A multi-agent system for data collection, analytics, alerting, and reporting.

Project Structure

mcp-agent-system/
├── agents/
│   ├── __init__.py
│   ├── data_collection_agent.py
│   ├── analytics_agent.py
│   ├── alert_agent.py
│   └── reporting_agent.py
├── core/
│   ├── __init__.py
│   ├── agent_base.py
│   ├── db_connector.py
│   ├── agent_scheduler.py
│   └── message_broker.py
├── config/
│   ├── __init__.py
│   └── settings.py
├── utils/
│   ├── __init__.py
│   └── logging_utils.py
├── requirements.txt
├── setup.py
└── README.md

Agents

BaseAgent

The abstract base class for all agents in the system, providing common functionality:

• Agent registration and status management
• Message passing between agents
• Task creation and management

DataCollectionAgent

Responsible for collecting data from various sources and storing it in the database.

AnalyticsAgent

Analyzes collected data to identify trends, patterns, and anomalies.

AlertAgent

Monitors data and analytics results to generate alerts based on predefined conditions.

ReportingAgent

Generates reports based on collected and analyzed data, including daily, weekly, and monthly reports.

Setup and Installation

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Configure database connection in config/settings.py
4. Run the agents using the agent scheduler

Usage

from core.agent_scheduler import AgentScheduler
from core.db_connector import DBConnector

# Initialize database connector
db_connector = DBConnector()

# Initialize and start agent scheduler
scheduler = AgentScheduler(db_connector)
scheduler.start_agents()