a year ago
developer-toolsA reusable Dockerized Python server template implementing the Model Context Protocol (MCP) with Streamable HTTP transport, built using the official MCP Python SDK (v1.8.0+) for easy integration with Large Language Models (LLMs).
Overview
What is Dockerized MCP Server Template?
The Dockerized MCP Server Template is a reusable Python server template that implements the Model Context Protocol (MCP) with Server-Sent Events (SSE), designed for easy integration with Large Language Models (LLMs).
How to use Dockerized MCP Server Template?
To use the template, you can either build and run it using Docker Compose or run it directly with Python. For Docker, use the command docker-compose up --build, and for direct execution, install dependencies and run python src/server.py.
Key features of Dockerized MCP Server Template?
- Implements the Model Context Protocol (MCP) for LLM interactions.
- Supports real-time communication via Server-Sent Events (SSE).
- Easy to set up and run in a Docker container.
Use cases of Dockerized MCP Server Template?
- Building applications that require real-time interactions with LLMs.
- Creating tools that utilize the MCP for structured LLM communication.
- Developing and testing LLM-based applications in a controlled environment.
FAQ from Dockerized MCP Server Template?
- What is the Model Context Protocol (MCP)?
MCP is a standardized protocol for interactions with LLMs, allowing clear separation of context provision and LLM interactions.
- Can I run the server without Docker?
Yes, you can run the server directly using Python after installing the required dependencies.
- Where can I find more information about MCP?
You can refer to the MCP Documentation and MCP Specification.