FastMCP Boilerplate MCP Server

@rainer85ah

代码仓库

基本信息

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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..

#mcp-server #fastmcp #docker

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

What license does FastMCP Boilerplate use?

It is licensed under the MIT License.

What runtime is required?

Python 3.12 or higher is required.

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`.

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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