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To learn more about Arcade.dev, check out our documentation.
To learn more about the Arcade MCP Server Framework, check out our Arcade MCP documentation
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The fastest way to get started is with the arcade new
command, which creates a complete MCP server project:
# Install the CLI
uv pip install arcade-mcp
# Create a new server project
arcade new my_server
# Navigate to the project
cd my_server
This generates a complete project with:
-
server.py - Main server file with MCPApp and example tools
-
pyproject.toml - Dependencies and project configuration
-
.env.example - Example
.env
file containing a secret required by one of the generated tools inserver.py
The generated server.py
includes proper command-line argument handling:
#!/usr/bin/env python3
import sys
from typing import Annotated
from arcade_mcp_server import MCPApp
app = MCPApp(name="my_server", version="1.0.0")
@app.tool
def greet(name: Annotated[str, "Name to greet"]) -> str:
"""Greet someone by name."""
return f"Hello, {name}!"
if __name__ == "__main__":
transport = sys.argv[1] if len(sys.argv) > 1 else "http"
app.run(transport=transport, host="127.0.0.1", port=8000)
This approach gives you:
-
Complete Project Setup - Everything you need in one command
-
Best Practices - Proper dependency management with pyproject.toml
-
Example Code - Learn from working examples of common patterns
-
Production Ready - Structured for growth and deployment
Run your server directly with Python:
# Run with HTTP transport (default)
uv run server.py
# Run with stdio transport (for Claude Desktop)
uv run server.py stdio
# Or use python directly
python server.py http
python server.py stdio
Your server will start and listen for connections. With HTTP transport, you can access the API docs at http://127.0.0.1:8000/docs.
Once your server is running, connect it to your favorite AI assistant:
# Configure Claude Desktop (configures for stdio)
arcade configure claude --from-local
# Configure Cursor (configures for http streamable)
arcade configure cursor --from-local
# Configure VS Code (configures for http streamable)
arcade configure vscode --from-local
-
ArcadeAI/arcade-py: The Python client for interacting with Arcade.
-
ArcadeAI/arcade-js: The JavaScript client for interacting with Arcade.
-
ArcadeAI/arcade-go: The Go client for interacting with Arcade.
- Discord: Join our Discord community for real-time support and discussions.
- GitHub: Contribute or report issues on the Arcade GitHub repository.
- Documentation: Find in-depth guides and API references at Arcade Documentation.