FastMCP Render Boilerplate

FastMCP Render Boilerplate

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

Category
Visit Server

README

MCP Server using Python, FastMCP and Render Boilerplate

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured