arcade-mcp 1.3.0

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Arcade MCP Server Framework

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To learn more about the Arcade MCP Server Framework, check out our Arcade MCP documentation

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Quick Start: Create a New Server

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 in server.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

Running Your Server

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.

Configure MCP Clients

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

Client Libraries

• 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.

Support and Community

• 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.