mcp-server-learn

netr/mcp-server-learn

3.1

If you are the rightful owner of mcp-server-learn and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP).

The MCP Server Template for Cursor IDE is designed to facilitate the creation of custom tools using the Model Context Protocol. This template allows developers to create their own repositories, modify tools, and seamlessly connect them to the Cursor IDE. The server can be deployed using various methods including Heroku, Docker, or traditional Python setup, providing flexibility in deployment. The template supports both SSE and stdio transport methods, making it versatile for different use cases. Additionally, it includes environment variable configurations for customization and debugging purposes. The template is also compatible with Smithery for easy installation and management.

Features

  • Flexible Deployment: Supports Heroku, Docker, and traditional Python setups.
  • Transport Options: Offers both SSE and stdio transport methods.
  • Environment Configurations: Customizable via environment variables.
  • Integration with Cursor IDE: Easily connect and configure with Cursor IDE.
  • Smithery Compatibility: Install and manage via Smithery CLI.

Usages

usage with Heroku

bash
[![Deploy to Heroku](https://www.herokucdn.com/deploy/button.svg)](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server)

usage with Docker

bash
# Clone the repository
git clone https://github.com/kirill-markin/weaviate-mcp-server.git
cd weaviate-mcp-server

# Create environment file
cp .env.example .env

# Build and start the server
docker compose up --build -d

# View logs
docker compose logs -f

# Check server status
docker compose ps

# Stop the server
docker compose down

usage with Traditional Setup

bash
# Install uv on macOS
brew install uv
# Or install via pip (any OS)
pip install uv

# Install the package with development dependencies
uv pip install -e ".[dev]"

# Using stdio transport (default)
uv run mcp-simple-tool

# Using SSE transport on custom port
uv run mcp-simple-tool --transport sse --port 8000

# Run tests
uv run pytest -v

usage with Smithery

bash
npx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude