
example-mcp-server
A ready-to-use MCP (Model Context Protocol) server template for extending Cursor IDE with custom tools. Deploy your own server to Heroku with one click, create custom commands, and enhance your Cursor IDE experience. Perfect for developers who want to add their own tools and commands to Cursor IDE without complex setup.
3 years
Works with Finder
2
Github Watches
9
Github Forks
33
Github Stars
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
-
Click "Deploy to Heroku" button
-
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
)
-
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:
- Initial setup:
# 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 run using Docker Compose:
# 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
-
The server will be available at:
- SSE endpoint: http://localhost:8000/sse
-
Quick test:
# Test the server endpoint
curl -i http://localhost:8000/sse
- 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:
# Install uv on macOS
brew install uv
# Or install via pip (any OS)
pip install uv
Start the server using either stdio (default) or SSE transport:
# 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
After installation, you can connect the server directly to Cursor IDE:
- Right-click on the
cursor-run-mcp-server.sh
file in Cursor - Select "Copy Path" to copy the absolute path
- Open Cursor Settings (gear icon)
- Navigate to Features tab
- Scroll down to "MCP Servers"
- Click "Add new MCP server"
- Fill in the form:
- Name: Choose any name (e.g., "my-mcp-server-1")
- Type: Select "stdio" (not "sse" because we run the server locally)
- Command: Paste the absolute path to
cursor-run-mcp-server.sh
that you copied earlier. For example:/Users/kirillmarkin/weaviate-mcp-server/cursor-run-mcp-server.sh
Environment Variables
Available environment variables (can be set in .env
):
-
MCP_SERVER_PORT
(default: 8000) - Port to run the server on -
MCP_SERVER_HOST
(default: 0.0.0.0) - Host to bind the server to -
DEBUG
(default: false) - Enable debug mode -
MCP_USER_AGENT
- Custom User-Agent for website fetching
Additional options
Installing via Smithery
To install MCP Server Template for Cursor IDE for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @kirill-markin/example-mcp-server --client claude
Glama server review
相关推荐
Converts Figma frames into front-end code for various mobile frameworks.
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.
Advanced software engineer GPT that excels through nailing the basics.
Delivers concise Python code and interprets non-English comments
💬 MaxKB is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
MCP server to provide Figma layout information to AI coding agents like Cursor
Reviews

user_OXUxIjMS
As a dedicated user of example-mcp-server, I am highly impressed with its robust functionalities and seamless integration capabilities. The documentation provided by kirill-markin is clear and comprehensive, making it easy to get started and deploy in no time. The server performance is exceptional and has significantly improved our application's efficiency. Highly recommended for anyone in need of a reliable MCP solution!