MCP Server Ft7
M

MCP Server Ft7

A simple MCP server implementation based on WebSocket and Redis, used to demonstrate multi - agent system interaction, supporting HTTP connections, SSE broadcasting, and horizontal scaling.
2 points
8.4K

What is MCP Server?

MCP Server is a lightweight server based on WebSocket and Redis, used to implement communication and coordination between multi - agent systems. It provides a simple way to connect different AI agents and tools, enabling them to collaborate on tasks.

How to use MCP Server?

You can connect agents or tools via WebSocket, register new clients using HTTP endpoints, and perform message publishing/subscribing through Redis. The server also supports Server - Sent Events (SSE) to push updates to clients.

Use cases

Suitable for scenarios that require multiple AI agents to collaborate, such as automated task processing, distributed AI systems, agent orchestration, etc. It is particularly suitable for rapid prototype development and experimental projects.

Main Features

WebSocket Communication
Use the WebSocket protocol to achieve real - time two - way communication between agents and tools
HTTP Endpoint
Provide an HTTP interface for registering new clients and managing connections
Redis Publishing/Subscribing
Utilize Redis to achieve message broadcasting and horizontal scaling capabilities
Server - Sent Events (SSE)
Send real - time updates and broadcast messages to clients
API Caching Support
Some client implementations include an API caching function to improve efficiency
Advantages
Lightweight implementation, with core concepts requiring less than 200 lines of code
Support multiple communication protocols (WebSocket, HTTP, SSE)
Easy to expand, and the message broker can be replaced (e.g., Kafka)
Open - source and easy to modify and experiment with
Blurs the boundary between tools and agents, making it more flexible to use
Limitations
Does not fully comply with the MCP specification standards
Lacks advanced orchestration functions
Limited documentation and support
Agent behavior may be unpredictable
Suitable for prototype development, and more testing is required for production environments

How to Use

Start the Server
Ensure that the Redis service is running, and then start the MCP server
Connect a WebSocket Client
Use the WebSocket protocol to connect to the server endpoint
Register a New Client
Register a new client or tool through the HTTP endpoint
Send and Receive Messages
Send messages via WebSocket or subscribe to the SSE endpoint to receive updates

Usage Examples

Multi - Agent Collaborative Task Processing
Multiple AI agents coordinate through the MCP server to complete complex tasks
Tool Integration
Integrate external tools into the system as MCP clients
Real - Time Monitoring
Monitor all agent activities through SSE

Frequently Asked Questions

Does MCP Server fully comply with the MCP specification?
Can Redis be replaced with other message brokers?
How to distinguish between agents and tools?
How many concurrent connections are supported?

Related Resources

GitHub Repository
Project source code
WebSocket Protocol Documentation
WebSocket API reference
Redis Official Documentation
Redis usage guide
SSE Technology Introduction
Server - Sent Events tutorial

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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