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Provides an intelligent customer service MCP server enabling automated Q&A, human handoff, and product knowledge management.
Configuration
View docs{
"mcpServers": {
"precariat365-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_ROLE": "admin",
"MYSQL_USER": "root",
"MYSQL_DATABASE": "a_llm",
"MYSQL_PASSWORD": "root"
}
}
}
}You build and run an MCP server that provides an intelligent customer support workflow. It offers automated question answering, human agent handoff, order lookups, and product knowledge management, all orchestrated through the MCP framework to simplify deploying conversational services.
You interact with the server using an MCP client that connects via stdio. Start the server in a local process, then use an MCP-enabled client (such as a GUI app or editor extension) to send prompts, view responses, and switch between automated answers and human handoffs. You can also attach an inspector for debugging and tuning the conversation flow while running in stdio mode.
Run the server in stdio mode to begin quickly. You start from a directory that contains the MCP project, then issue the runtime command with the appropriate arguments. If you prefer Python directly, you can start the Python script in stdio mode. In both cases, your MCP client will connect through the standard input/output channel or a local API surface provided by the runner.
Optional tooling includes an inspector for the stdio session and desktop clients like VSCode or Claude. The inspector lets you observe prompts, model decisions, and handoff events in real time, helping you refine the knowledge base and routing rules.
Prerequisites you need before installation include Python 3.10 or newer and MCP framework version 1.6.0 or newer.
Create and activate a virtual environment to keep dependencies isolated.
Install dependencies using the package manager you prefer.
Choose one of the runtime approaches shown below and start the server.
The server supports multiple runtime start options. The primary stdio configuration starts the MCP server using the runtime tool with a project directory and an explicit run target. You can also run the Python runner directly in stdio mode if you prefer to invoke the Python script.
If you plan to connect via a desktop client or IDE, you can paste the appropriate configuration into your client to establish the connection. The configuration examples include the command and arguments you need to start the MCP server in stdio mode.
Environment variables for database access can be provided to the server to configure MySQL connections, including host, port, user, password, and database name. These are example placeholders you’d replace with your real values in your environment.
Handles automated question-and-answer interactions using the knowledge base and models.
Transfers conversations to human customer service agents when needed.
Fetches and presents order information from the system.
Manages product knowledge data and retrieval for responses.