MCP Server Research
This project is a research and implementation of the Message Coordination Protocol (MCP) server, including reference implementations, demonstration cases, and documentation, supporting communication and coordination in distributed systems.
rating : 2 points
downloads : 14
What is an MCP server?
The MCP (Message Coordination Protocol) server is a standardized protocol implementation for communication and coordination between distributed systems. It allows different system components to interact and coordinate operations through a standardized message format.How to use an MCP server?
The MCP server can be quickly started with a simple Python script and provides a Web dashboard for monitoring system activities. Clients can interact with the server by sending messages in a specific format.Use cases
Suitable for systems that require multiple distributed components to work together, such as microservice architectures, IoT device clusters, multi - node data processing systems, etc.Main features
Client managementAutomatically register and track connected clients, and maintain client status information
Message processingSupport the processing and routing of multiple message types (heartbeat, data, commands)
Monitoring dashboardProvide a Web interface to monitor system activities and message flows in real - time
Message historyMaintain recent message history for debugging and analysis
Advantages and limitations
Advantages
Lightweight implementation, easy to deploy and integrate
Provide a standardized communication protocol to reduce the complexity of system integration
Built - in monitoring function for easy system operation and maintenance
Support cross - platform and cross - language clients
Limitations
Currently using in - memory storage, data will be lost after restart
Performance may not be suitable for ultra - high - concurrency scenarios
Lack of enterprise - level security features
How to use
Environment preparation
Ensure that Python 3.8+ and necessary dependencies are installed
Start the server
Run the server script, and you can choose to specify the debug mode and port
Access the monitoring dashboard
Open the server address in the browser to view the system status
Run the client
Run the client script in another terminal to interact with the server
Usage examples
Device status monitoringMultiple IoT devices report status through the MCP server
Distributed task coordinationMultiple worker nodes coordinate task allocation through the MCP server
Frequently Asked Questions
How to modify the server port?
Will the data be persistently stored?
How many clients can be connected simultaneously?
Related resources
Flask framework documentation
The Web framework used by the MCP server
GitHub repository
Project source code
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