MCP Server Demo
@never2average
About MCP Server Demo
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"a2a-mcp-server": {
"command": "python",
"args": [
"main.py"
]
}
}
}Tools
No tools detected
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Overview
What is MCP Server Demo?
MCP Server Demo is 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 for task creation, updates, completion, and real-time notification handling.
How to use MCP Server Demo?
Install dependencies with pip install -e ., configure Kafka cluster details in kafka_config.py, and start the server with python main.py. Optionally load test data using python kafka_test_data.py. AI agents interact via exposed MCP tools for tasks and notifications.
Key features of MCP Server Demo
- Task management: create, update, prioritize, complete tasks.
- Real-time notification system with priority levels.
- Kafka integration for reliable message queuing and event streaming.
- AI-friendly MCP tools for task and notification operations.
- Background consumer services for processing Kafka messages.
Use cases of MCP Server Demo
- AI agents manage production tasks via MCP tools.
- Real-time notification processing for task updates.
- Background task queue processing with Kafka consumers.
- Automated task prioritization and completion workflows.
FAQ from MCP Server Demo
What are the runtime dependencies?
Python 3.13 or later, a Kafka cluster (local or AWS MSK), and the Confluent Kafka Python client.
How do I configure the Kafka connection?
Update the KAFKA_CONFIG dictionary in kafka_config.py with your bootstrap servers, security protocol (e.g., SASL_SSL), SASL mechanism (e.g., SCRAM-SHA-512), username, and password.
What MCP tools are exposed?
Task management tools: fetch_queue, change_task_priority, pickup_task, complete_task, get_task_details, check_task_status. Notification tools: check_notification_count, get_notification_list, mark_notification_as_read.
How can I populate test data?
Run python kafka_test_data.py to generate sample tasks and notifications for demonstration.
What license is used?
The project is distributed under the MIT License.
Frequently asked questions
What are the runtime dependencies?
Python 3.13 or later, a Kafka cluster (local or AWS MSK), and the Confluent Kafka Python client.
How do I configure the Kafka connection?
Update the `KAFKA_CONFIG` dictionary in `kafka_config.py` with your bootstrap servers, security protocol (e.g., SASL_SSL), SASL mechanism (e.g., SCRAM-SHA-512), username, and password.
What MCP tools are exposed?
Task management tools: `fetch_queue`, `change_task_priority`, `pickup_task`, `complete_task`, `get_task_details`, `check_task_status`. Notification tools: `check_notification_count`, `get_notification_list`, `mark_notification_as_read`.
How can I populate test data?
Run `python kafka_test_data.py` to generate sample tasks and notifications for demonstration.
What license is used?
The project is distributed under the MIT License.
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