What transport protocol does this server use?
It uses Streamable HTTP, a stateless transport available starting with the Python MCP SDK v1.8.0.
@zantis
基本信息
A 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).
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"dockerized-mcp-server-template": {
"command": "python",
"args": [
"src/server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
This repository provides a reusable template for a Python server implementing the Model Context Protocol (MCP), running in a Docker container and utilizing Streamable HTTP for real-time communication. It enables easy integration with Large Language Models (LLMs) by exposing data and functionality in a standardized way.
Build and run with Docker Compose using docker-compose up --build, or run directly with Python after installing dependencies (pip install -r src/requirements.txt) by executing python src/server.py. The server becomes accessible at http://localhost:8080/mcp.
add tool to demonstrate functionalityIt uses Streamable HTTP, a stateless transport available starting with the Python MCP SDK v1.8.0.
Python 3, the packages listed in `src/requirements.txt`, and optionally Docker and Docker Compose for containerized deployment.
Run `docker-compose up --build` to build and start the containerized server. The server listens on port 8080 at `/mcp`.
Streamable HTTP enables stateless operation, making MCP compatible with serverless architectures and standard web infrastructure, eliminating the need for persistent connections and improving resource efficiency.
Yes, the template includes a simple `add` tool that takes two integers and returns their sum.
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