🚀 FastMCP Boilerplate for MCP Servers

A modern MCP (Model Control Protocol) project built with Python, FastMCP, FastAPI, Docker, and integrated with Ollama and Open-webUI.

This project provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities.

Related MCP server: Createve.AI Nexus

🔧 Tech Stack

• 🐍 Python – Primary language

• ⚡ FastMCP – Model Control Protocol framework for managing AI models

• 🌐 FastAPI – High-performance API backend

• 🧠 Ollama – LLM execution and orchestration

• 🧩 Open-webUI – Chat-style interface for AI interactions

• 🐳 Docker – Containerized for easy deployment and reproducibility in dev and production environments.

🧱 Features

• 🚀 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

📦 Getting Started

1. Clone the repo

git clone https://github.com/rainer85ah/mcp-server.git
cd mcp-server

🐳 2. Run with Docker Compose (recommended)

docker compose up --build -d

3. Access the app

Ollama: http://localhost:11434
API Docs: http://localhost:8000/docs
OpenAPI: http://localhost:8000/openapi.json
MCP Server: http://localhost:8000/service/mcp/
Open-webUI: http://localhost:3000

🌱 Use as a Boilerplate

Use this project as a starter template for:

• AI chat platforms

• Model routing gateways

• Developer LLM sandboxes

• FastAPI-based ML backends

📜 License

This project is licensed under the MIT License.
You are free to use, modify, and distribute this software with proper attribution.

🤝 Contributing

Contributions are welcome! Feel free to:

• ⭐ Star the project

• 🍴 Fork the repo

• 🛠️ Open issues or feature requests

• 🔁 Submit pull requests

📫 Contact

Created with 💡 by Rainer Arencibia
🔗 Connect with me on LinkedIn