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Glama

License: MIT Python Docker

šŸš€ 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.

Model Control Protocol (MCP)

Related MCP server: OpenAI and Claude MCP

šŸ”§ Tech Stack

  • šŸ 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

  • šŸš€ Fast startup with Docker

  • šŸ”Œ Easy integration with Ollama and Open-webUI

  • šŸ“¦ Pluggable architecture for adding models and routes

  • šŸŽÆ Designed for rapid prototyping or production use

  • āœ… REST API ready with OpenAPI docs


šŸ“¦ Getting Started

1. Clone the repo

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

šŸ“œ License

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

šŸ¤ Contributing

Contributions are welcome! Feel free to:

  • ⭐ Star the project

  • šŸ“ Fork the repo

  • šŸ› ļø Open issues or feature requests

  • šŸ” Submit pull requests

šŸ“« Contact

Created with šŸ’” by Rainer Arencibia
šŸ”— Connect with me on LinkedIn

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