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Dockerized MCP Server Template

This is a Docker-based Python server template that implements the Model Context Protocol (MCP), built with the FastMCP library, and supports real-time interaction with large language models (LLMs) through Server-Sent Events (SSE).
2 points
12

What is an MCP server?

An MCP (Model Context Protocol) server is a service specifically designed to interact with large language models (LLMs). It allows applications to separate the provision of data/functionality (context) from the actual LLM interaction in a standardized way.

How to use the MCP server?

You can start the server with simple Docker commands and then interact with the server through HTTP endpoints. The server supports three main functions: retrieving data (Resources), executing operations (Tools), and using predefined prompt templates (Prompts).

Use cases

Suitable for scenarios where LLM capabilities need to be integrated into applications, especially those requiring real-time interaction and structured data exchange.

Main features

Resource access (Resources)Provide data to the LLM, similar to the GET endpoint in a REST API
Tool execution (Tools)Allow the LLM to perform specific operations or calculations, similar to the POST endpoint in a REST API
Prompt templates (Prompts)Provide reusable interaction templates for structured LLM interactions
Real-time communication (SSE)Use Server-Sent Events technology to achieve real-time data push

Advantages and limitations

Advantages
Standardized protocol, easy to integrate with various LLMs
Clear separation of concerns, improving system maintainability
Docker containerization, simple deployment
Real-time communication capabilities, suitable for interactive applications
Limitations
Requires certain technical knowledge for initial setup
The community ecosystem is still in development
Real-time communication may increase server load

How to use

Install the Docker environment
Ensure that Docker and Docker Compose are installed on your system
Download and build the service
Use Docker Compose to build and start the service
Access the service endpoint
After the service starts, you can access the SSE endpoint through the following URL
Run directly (non-Docker way)
You can also run the server directly through Python

Usage examples

Execute addition calculationUse the built-in addition tool function to add numbers
Get server informationQuery the list of resources and tools provided by the server

Frequently Asked Questions

What kind of hardware configuration does the MCP server require?
How to add custom tool functions?
How to handle the disconnection of the SSE connection?

Related resources

MCP official documentation
Complete documentation for the MCP protocol
MCP specification
Technical specification of the protocol
SSE technology documentation
Technical reference for Server-Sent Events
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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