A

A2a MCP Server

A production-level task management system based on the MCP protocol and Kafka, supporting task management, real-time notifications, and event stream processing, providing an interaction interface for AI agents.
2 points
9

What is the MCP Task Management Server?

The MCP Task Management Server is a powerful task management system that allows AI assistants to easily create, update, and complete tasks through the MCP protocol. It also provides real-time notification functionality to ensure you receive important information in a timely manner.

How to use the MCP Task Management Server?

You can start using the MCP Task Management Server in just a few steps: install dependencies, configure the Kafka connection, start the service, and load test data. Our toolset makes task management and notifications simple.

Applicable Scenarios

Suitable for enterprise scenarios that require efficient task allocation and real-time notifications, such as production scheduling, customer service, or project management.

Main Features

Task ManagementSupports task creation, priority adjustment, status update, and completion operations.
Real-time Notification SystemSends notifications based on priority to ensure users receive important information immediately.
Kafka Message Queue IntegrationEnables efficient flow of tasks and notifications through a reliable message delivery mechanism.
AI-friendly Interaction ToolsProvides easy-to-use API interfaces for AI assistants to interact with the system.

Advantages and Limitations

Advantages
Real-time task processing improves work efficiency.
Supports high-concurrency task and notification flows.
Easy to expand and integrate into existing systems.
AI-friendly design simplifies the human-machine collaboration process.
Limitations
Requires configuring a Kafka cluster, which may increase deployment complexity.
Sensitive to network latency, affecting real-time performance.

How to Use

Clone the code repository
Use Git to clone the project code to your local environment.
Install dependencies
Install the Python dependency packages required by the project.
Configure Kafka
Fill in the correct Kafka connection information in `kafka_config.py`.
Start the service
Run the main script to start the MCP Task Management Server.

Usage Examples

Create a new taskCreate a new production task through an API call.
View unread notificationsCheck the number of unread notifications in the system.

Frequently Asked Questions

How can I quickly start using the MCP Task Management Server?
Does it support customizing notification priorities?
What should I do if the Kafka connection fails?

Related Resources

Official Documentation
A detailed user manual for the MCP Task Management Server.
GitHub Repository
Source code address and contribution guide.
Kafka Tutorial
Kafka basics and best practices.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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