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šŸš€ FastMCP Boilerplate

@rainer85ah

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

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

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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.

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