36584942f7
When `python -m arcade_mcp_server` was executed, we would get the following Runtime Warning: ``` <frozen runpy>:128: RuntimeWarning: 'arcade_mcp_server.__main__' found in sys.modules after import of package 'arcade_mcp_server', but prior to execution of 'arcade_mcp_server.__main__'; this may result in unpredictable behaviour ``` This PR resolves this. This PR is mainly just moving existing functions to new locations; a refactor <!-- CURSOR_SUMMARY --> --- > [!NOTE] > **Low Risk** > Primarily a module-organization refactor with minimal behavior change; main risk is import-path regressions for internal callers and stdio/CLI startup wiring. > > **Overview** > Fixes the `python -m arcade_mcp_server` runtime warning by refactoring `arcade_mcp_server.__main__` to be a thin CLI entrypoint and moving its reusable logic into import-safe modules. > > Extracts stdio execution and tool discovery into a new `arcade_mcp_server.stdio_runner` (`initialize_tool_catalog`, `run_stdio_server`) and moves `setup_logging` into `logging_utils`, updating `MCPApp`, the FastAPI `worker`, and tests to import from the new locations. Bumps package version to `1.17.3`. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 210475acea7c5df44fc66be2bde06f1f0c806c4e. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> |
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Arcade MCP Server
Arcade MCP (Model Context Protocol) Server enables AI assistants and development tools to interact with your Arcade tools through a standardized protocol. Build, deploy, and integrate MCP servers seamlessly across different AI platforms.
Quick Links
- Quickstart Guide - Get up and running in minutes
- Walkthrough - Learn by example
- API Reference - MCPApp API documentation
Features
- 🚀 FastAPI-like Interface - Simple, intuitive API with
MCPApp - 🔧 Tool Discovery - Automatic discovery of tools in your project
- 🔌 Multiple Transports - Support for stdio and HTTP/SSE
- 🤖 Multi-Client Support - Works with Claude, Cursor, and more
- 📦 Package Integration - Load installed Arcade packages
- 🔐 Built-in Security - Environment-based configuration and secrets
- 🔄 Hot Reload - Development mode with automatic reloading
- 📊 Production Ready - Deploy with Docker, systemd, PM2, or cloud platforms
Getting Started
Installation
pip install arcade-mcp-server
Create Your First Server
from arcade_mcp_server import MCPApp
from typing import Annotated
app = MCPApp(name="my-tools", 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__":
app.run()
Run Your Server
# For development
python my_tools.py
# For Claude Desktop
python -m arcade_mcp_server stdio
# For HTTP clients
python -m arcade_mcp_server --host 0.0.0.0 --port 8080
Community
Analytics & Privacy
Arcade MCP Server collects anonymous usage data to help us improve the service and debug issues. We track "MCP server start" events to understand server usage patterns and reliability.
What We Track
When the server starts, we collect the following information:
- Server configuration: transport type (
httporstdio), host, port - Server metadata: tool count, server version
- Runtime environment: Python version, OS type and release
- Timing: device timestamp
- Errors: error messages (if startup fails)
Privacy
- For anonymous users: Events are tracked with an anonymous ID and no user profile is created
- For authenticated users: Events are linked to your account to help us provide better support
- No sensitive data (credentials, tool inputs/outputs, or personal information) is ever collected
Opt Out
To disable usage tracking, set the environment variable ARCADE_USAGE_TRACKING to 0.
License
Arcade MCP Server is open source software licensed under the MIT license.