FastMCP Boilerplate

🚀 FastMCP Boilerplate

A modern MCP (Model Control Plane) 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.

🔧 Tech Stack

🐍 Python – Primary language
⚡ FastMCP – Model Control Plane 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

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

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A modern Model Control Plane (MCP) project that provides a lightweight, extensible foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities through Python, FastAPI, and Docker.

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