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FastMCP Render Boilerplate

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A boilerplate MCP server built with Python and FastMCP, ready for deployment on Render, with example tools and logging.

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Описание

A boilerplate MCP server built with Python and FastMCP, ready for deployment on Render, with example tools and logging.

README

A Model Context Protocol (MCP) server built with Python, FastMCP, designed to be deployed on Render.

Features

  • FastMCP-based MCP server implementation
  • Ready for deployment on Render
  • Python-based with modern async support
  • Comprehensive tool integration
  • Easy configuration and setup

Quick Start

Prerequisites

  • Python 3.11.12+
  • pip
  • Git

Local Development

  1. Clone the repository:
git clone <your-repo-url>
cd mcp-server-using-py-fastmcp-render-boilerplate
  1. Create and activate a virtual environment:
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the server locally:
python main.py

Environment Variables

Create a .env file in the root directory:

# Server Configuration
HOST=0.0.0.0
PORT=10000
DEBUG=false

# MCP Configuration
MCP_SERVER_NAME=my-mcp-server

# Add your custom environment variables here

Project Structure

mcp-server-using-py-fastmcp-render-boilerplate/
├── main.py                 # Main server entry point with logging
├── requirements.txt        # Python dependencies (minimal FastMCP setup)
├── env.example             # Example environment variables
├── .gitignore             # Git ignore rules
├── README.md              # This file
├── LICENSE                # MIT License
├── mcp_server.log         # Server log file (generated at runtime)
└── src/                   # Source code
    ├── __init__.py
    └── tools/             # Custom MCP tools
        ├── __init__.py
        └── example_tools.py  # Echo and calculator tools with logging

Testing

Make use of the MCP Inspector Tool to test your server: https://github.com/modelcontextprotocol/inspector

Deployment on Render

This project can be deployed on Render:

  1. Connect your GitHub repository to Render
  2. Create a new Web Service
  3. Use the following settings:
    • Build Command: pip install -r requirements.txt
    • Start Command: python main.py
    • Environment: Python 3
    • MCP_SERVER_NAME: my-mcp-server (as configured in env.example)
    • HOST: 0.0.0.0
    • PORT: 10000
    • DEBUG: false

Development

Adding New Tools

  1. Add a new tool to src/tools/example_tools.py
  2. Implement your tool following the FastMCP pattern
  3. Register the tool in main.py

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

License

MIT License - see LICENSE file for details.

Support

For issues and questions, please open an issue on GitHub.

from github.com/nzwi263/mcp-server-using-py-fastmcp-render-boilerplate

Установка FastMCP Render Boilerplate

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/nzwi263/mcp-server-using-py-fastmcp-render-boilerplate

FAQ

FastMCP Render Boilerplate MCP бесплатный?

Да, FastMCP Render Boilerplate MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для FastMCP Render Boilerplate?

Нет, FastMCP Render Boilerplate работает без API-ключей и переменных окружения.

FastMCP Render Boilerplate — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить FastMCP Render Boilerplate в Claude Desktop, Claude Code или Cursor?

Открой FastMCP Render Boilerplate на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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