FastMCP Boilerplate MCP Server

@rainer85ah

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

rainer85ah

FastMCP Boilerplate MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

FastMCP Boilerplate MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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