🚀 FastMCP Boilerplate

Name: 🚀 FastMCP Boilerplate
Author: rainer85ah

@rainer85ah

About 🚀 FastMCP Boilerplate

A MCP server built with Python, FastMCP, Ollama, Open-webUI, FastAPI, and Docker following a microservice architecture..

#mcp-server #fastmcp #docker

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from FastMCP Boilerplate

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.

Comments

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