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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.
!Server Mood Response
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 onMCP_SERVER_HOST
(default: 0.0.0.0) - Host to bind the server toDEBUG
(default: false) - Enable debug modeMCP_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
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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