iflow-mcp_kirill-markin-mcp-simple-tool

# MCP Server Template for Cursor IDE A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). Create your own repository from this template, modify the tools, and connect them to your Cursor IDE.  ## Quick Start 1. Click "Deploy to Heroku" button [](https://heroku.com/deploy?template=https://github.com/kirill-markin/weaviate-mcp-server) 2. After deployment, configure Cursor: - Open Cursor Settings → Features - Add new MCP server - Use your Heroku URL with `/sse` path (e.g., `https://<your-app-name>.herokuapp.com/sse`) 3. Test your agent's mood in Cursor: - Ask your agent "Please ask about our server mood and let me know how it is." - The server will respond with a cheerful message and a heart ❤️ ## Alternative Setup Methods You can run the server in three ways: using Docker, traditional Python setup, or directly in Cursor IDE. ### Docker Setup The project includes Docker support for easy deployment: 1. Initial setup: ```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 ``` 2. Build and run using Docker Compose: ```bash # 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 ``` 3. The server will be available at: - SSE endpoint: http://localhost:8000/sse 4. Quick test: ```bash # Test the server endpoint curl -i http://localhost:8000/sse ``` 5. Connect to Cursor IDE: - Open Cursor Settings → Features - Add new MCP server - Type: Select "sse" - URL: Enter `http://localhost:8000/sse` ### Traditional Setup First, install the uv package manager: ```bash # Install uv on macOS brew install uv # Or install via pip (any OS) pip install uv ``…