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FastMCP Boilerplate MCP Server

@rainer85ah

基本信息

分类

开发工具

传输方式

stdio

作者

rainer85ah

关于 FastMCP Boilerplate MCP Server

A MCP server built with Python, FastMCP, Ollama, Open-webUI, FastAPI, and Docker following a microservice architecture..

FastMCP Boilerplate MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-rainer85ah": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "--build",
        "-d"
      ]
    }
  }
}

FastMCP Boilerplate MCP Server 工具

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。

概览

What is FastMCP Boilerplate?

FastMCP Boilerplate is a modern Model Control Protocol (MCP) project built with Python, FastMCP, FastAPI, Docker, and integrated with Ollama and Open-webUI. It provides a lightweight, extensible foundation for building and deploying AI/LLM systems, targeting developers who need a fast start or production-ready template.

How to use FastMCP Boilerplate?

Clone the repository, then run docker compose up --build -d to start all services. Access Ollama on port 11434, API docs at http://localhost:8000/docs, and Open-webUI on port 3000.

Key features of FastMCP Boilerplate

  • Fast startup with Docker
  • Easy integration with Ollama and Open-webUI
  • Pluggable architecture for adding models and routes
  • Designed for rapid prototyping or production use
  • REST API ready with OpenAPI docs

Use cases of FastMCP Boilerplate

  • Building AI chat platforms
  • Creating model routing gateways
  • Setting up developer LLM sandboxes
  • Developing FastAPI-based ML backends

常见问题

1

What license does FastMCP Boilerplate use?

It is licensed under the MIT License.

2

What runtime is required?

Python 3.12 or higher is required.

3

How do I access the API documentation?

After starting with Docker, OpenAPI docs are available at `http://localhost:8000/docs` and the OpenAPI spec at `http://localhost:8000/openapi.json`.

4

What is the purpose of this project?

It serves as a boilerplate for building MCP servers, integrating FastMCP, FastAPI, Ollama, and Open-webUI for AI/LLM management and exposure.

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