MCP Tool Server Template

Name: MCP Tool Server Template
Author: mibexx

@mibexx

代码仓库

关于 MCP Tool Server Template

暂无概览

基本信息

分类

开发工具

运行时

python

传输方式

stdio

发布者

mibexx

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mbxai-mcp-server-template": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

工具

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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。

概览

What is MCP Tool Server Template?

It is a cookiecutter template for scaffolding Model Context Protocol (MCP) tool servers using FastAPI, uv, and Docker. It is intended for developers who want to quickly set up an MCP server with modern Python tooling and a sample weather tool.

How to use MCP Tool Server Template?

Use cookiecutter to generate a new project: cookiecutter gh:mibexx/mbxai-mcp-server-template and answer the prompts for project name, slug, etc. Then navigate into the generated directory and run uv run service to start the server locally, or use docker-compose up -d for containerized execution.

Key features of MCP Tool Server Template

FastAPI-based REST server with MCP tool support
Sample weather tool for quick prototyping
Modern Python tooling: uv, ruff, mypy
Type hints and comprehensive testing
Docker and Docker Compose support
Kubernetes deployment configuration

Use cases of MCP Tool Server Template

Quickly bootstrap a new MCP tool server project
Prototype MCP tools with a built-in weather example
Develop and test MCP servers using modern Python stack
Containerize and deploy MCP servers via Docker or Kubernetes
Provide a consistent project structure for team collaboration

FAQ from MCP Tool Server Template

What dependencies are required to use this template?

The template requires Python 3.12 or higher, the uv package manager, and cookiecutter version 2.5.0 or higher.

How do I create a new MCP server project?

Run cookiecutter gh:mibexx/mbxai-mcp-server-template and follow the interactive prompts to configure your project.

How can I run the generated server locally?

Navigate into the generated project directory, create a virtual environment with uv venv, activate it, install the package with uv pip install -e ., then run uv run service.

What deployment options are provided?

The template includes Docker and Docker Compose configurations for containerized deployment, as well as Kubernetes deployment files in the kubernetes/ directory.

Is there a sample tool included to get started?

Yes, the template includes a sample weather tool implementation located at src/your_package/project/weather.py.

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