MCP Server Demo
by never2average
A production-ready task management system built with MCP (Model Control Protocol) and Kafka. It enables AI agents to interact with a Kafka-based task queue.
Last updated: N/A
What is MCP Server Demo?
This is a task management system that uses MCP to allow AI agents to interact with a Kafka-based task queue. It provides real-time task and notification management.
How to use MCP Server Demo?
First, clone the repository and install the dependencies. Then, configure the Kafka settings in kafka_config.py. Start the server with python main.py and load test data using python kafka_test_data.py. Use the exposed MCP tools to manage tasks and notifications.
Key features of MCP Server Demo
Task Management
Notification System
Kafka Integration
MCP Tools
Consumer Services
Use cases of MCP Server Demo
Automated task assignment
Real-time monitoring of task progress
AI-driven task prioritization
Integration with AI agents for task execution
FAQ from MCP Server Demo
What is MCP?
What is MCP?
MCP (Model Control Protocol) is used to create AI-friendly interfaces for task and notification operations.
What is Kafka used for?
What is Kafka used for?
Kafka is used for reliable message queuing and event streaming within the system.
How do I configure the Kafka connection?
How do I configure the Kafka connection?
Update the kafka_config.py file with your Kafka cluster details, including bootstrap servers, security protocol, SASL mechanisms, username, and password.
How do I start the server?
How do I start the server?
Run the command python main.py to start the MCP server.
How can AI agents interact with the system?
How can AI agents interact with the system?
AI agents can use the exposed MCP tools to fetch tasks, update task priorities, mark tasks as in progress or completed, and manage notifications.