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
Basic information
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).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dockerized-mcp-server-template": {
"command": "python",
"args": [
"src/server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.

DocuWriter is an AI-powered platform for creating, updating and managing complete, structured documentation for entire codebases. Teams can connect repositories and generate documentation covering architecture, modules,

Official Instatus MCP server. Ask what's down and why a monitor is failing, measure uptime for a period, see what went down and for how long, post and resolve incidents, schedule maintenance, put up general notices, see

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

Turn Perfex CRM into an AI-ready workspace. This MCP server exposes your full REST API to Claude, ChatGPT and any AI agent, so leads, invoices and tasks are one prompt away.
Comments