S

Smart Customer Support

An example project of an intelligent customer service system based on the MCP framework
2.5 points
21

What is the intelligent customer service system?

This is an intelligent customer service solution built on the Model Context Protocol (MCP) framework, capable of handling customer inquiries, querying order information, and transferring to human customer service when needed. The system also includes a product knowledge base management function, which can continuously learn and optimize service capabilities.

How to use the intelligent customer service system?

You can use this system in two ways: 1) Interact directly through the command-line interface (stdio mode) 2) Access through a web application (SSE mode). The system is easy to install and can be deployed with just a few commands.

Applicable scenarios

Suitable for scenarios such as e-commerce platform customer service, product technical support, and order status query. Particularly suitable for enterprises that require 7×24 online customer service.

Main functions

Intelligent Q&A serviceBased on AI's natural language processing capabilities, understand and answer various customer consultation questions
Transfer to human customer serviceWhen the AI cannot solve the problem, it can seamlessly transfer to human customer service
Order information queryCustomers can query order status, logistics information, etc. through natural language
Product knowledge base managementAdministrators can update and maintain the product knowledge base at any time to improve customer service quality

Advantages and limitations

Advantages
Respond quickly to customer consultations, providing 7×24 uninterrupted service
Support natural language interaction, providing a friendly customer experience
Easy to integrate into existing systems
The knowledge base can continuously learn and update
Limitations
Complex problems still require human customer service intervention
The knowledge base needs to be regularly maintained to ensure accuracy
It has certain requirements for network connection stability

How to use

Installation preparation
Ensure that the system meets the requirements of Python 3.10 or higher, and install the MCP framework version 1.6.0 or higher
Create a virtual environment
It is recommended to use a virtual environment to isolate project dependencies
Install dependencies
Install all the dependency packages required by the project
Run the system
Select the running mode that suits your needs (stdio or SSE)

Usage examples

Integrate into VSCodeIntegrate the intelligent customer service system into the VSCode development environment
Configure environment variablesConfigure environment variables such as database connection for the system

Frequently Asked Questions

How to know if the system is installed successfully?
What is the difference between SSE mode and stdio mode?
How to update the product knowledge base?
Which databases does the system support?

Related resources

MCP framework documentation
Detailed technical documentation for the Model Context Protocol framework
GitHub repository
Project source code and latest updates
Installation video tutorial
Step-by-step guidance on how to install and configure the system
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
      "SmartCustomerSupportMCP": {
        "command": "uv",
        "args": [
          "--directory",
          "/opt/apps/python_project/SmartCustomerSupportMCP", 
          "run",
          "mcp-smart-customer-support",
          "--stdio"
        ]
    }
  }
}

{
  "mcpServers": {
      "SmartCustomerSupportMCP": {
        "command": "uv",
        "args": [
          "--directory",
          "/opt/apps/python_project/SmartCustomerSupportMCP", 
          "run",
          "mcp-smart-customer-support",
          "--stdio"
        ],
        "env": {
          "MYSQL_HOST": "192.168.xxx.xxx",
          "MYSQL_PORT": "3306",
          "MYSQL_USER": "root",
          "MYSQL_PASSWORD": "root",
          "MYSQL_DATABASE": "a_llm",
          "MYSQL_ROLE": "admin"
       }
    }
  }
}
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