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ReferenceArcade MCPPythonClientsCursor

Cursor IDE

Cursor is an AI-powered IDE that supports servers. This guide will help you integrate your Arcade with Cursor for enhanced development capabilities.

Prerequisites

  • Cursor IDE installed
  • Python 3.10+ installed
  • arcade-mcp package installed (pip install arcade-mcp)

Configuration

Cursor reads server configurations from its settings. You can configure through:

  1. Cursor Settings UI
  2. Configuration file
  3. Workspace settings

Basic setup

Method 1: Settings UI

  1. Open Cursor Settings (Cmd/Ctrl + Shift + J)
  2. Search for “” or “Model Protocol”
  3. Add a new server configuration:
    • Name: arcade-tools
    • Command: python -m arcade_mcp stdio
    • Working Directory: /path/to/your/project

Method 2: Configuration file

Add to your Cursor configuration:

JSON
{ "mcp.servers": { "arcade-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio"], "cwd": "${workspaceFolder}", "env": { "PYTHONPATH": "${workspaceFolder}" } } } }

Method 3: Workspace settings

Create .cursor/settings.json in your workspace:

JSON
{ "mcp.servers": { "project-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio", "--debug"], "cwd": "${workspaceFolder}", "env": { "ARCADE_API_KEY": "${env:ARCADE_API_KEY}" } } } }

Development workflow

Hot reload setup

For active development with automatic reload:

JSON
{ "mcp.servers": { "dev-tools": { "command": "python", "args": ["-m", "arcade_mcp", "--reload", "--debug"], "cwd": "${workspaceFolder}", "env": { "PYTHONPATH": "${workspaceFolder}" } } } }

Virtual environment

Use a -specific virtual environment:

JSON
{ "mcp.servers": { "project-tools": { "command": "${workspaceFolder}/venv/bin/python", "args": ["-m", "arcade_mcp", "stdio"], "cwd": "${workspaceFolder}" } } }

Multiple tool sets

Configure different sets for different purposes:

JSON
{ "mcp.servers": { "github-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio", "--tool-package", "github"], "env": { "GITHUB_TOKEN": "${env:GITHUB_TOKEN}" } }, "database-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio"], "cwd": "${workspaceFolder}/db_tools", "env": { "DATABASE_URL": "${env:DATABASE_URL}" } }, "api-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio"], "cwd": "${workspaceFolder}/api_tools" } } }

Integration features

Inline tool usage

Use directly in your code comments:

Python
# @mcp use arcade-tools.greet name="World" # Result will appear here def process_data(data): # @mcp use database-tools.query sql="SELECT * FROM users" pass

Tool discovery

View available in Cursor:

  1. Open Command Palette (Cmd/Ctrl + Shift + P)
  2. Type “: List
  3. Select your server to see available

Tool documentation

Access documentation:

  1. Hover over usage in code
  2. Use Cmd/Ctrl + Click on names
  3. View in the panel

Advanced configuration

Environment-specific settings

Use different configurations per environment:

JSON
{ "mcp.servers": { "tools-dev": { "command": "python", "args": ["-m", "arcade_mcp", "stdio", "--env-file", ".env.dev"], "cwd": "${workspaceFolder}", "when": "${config:environment} == 'development'" }, "tools-prod": { "command": "python", "args": ["-m", "arcade_mcp", "stdio", "--env-file", ".env.prod"], "cwd": "${workspaceFolder}", "when": "${config:environment} == 'production'" } } }

Task integration

Create tasks for server management:

JSON
{ "version": "2.0.0", "tasks": [ { "label": "Start MCP Server", "type": "shell", "command": "python -m arcade_mcp --reload --debug", "problemMatcher": [], "isBackground": true }, { "label": "Test Tools", "type": "shell", "command": "python -m arcade_mcp --tool-package ${input:package} --debug", "problemMatcher": [] } ], "inputs": [ { "id": "package", "type": "promptString", "description": "Tool package name" } ] }

Debugging tools

Debug your with Cursor’s debugger:

JSON
{ "version": "0.2.0", "configurations": [ { "name": "Debug MCP Tools", "type": "python", "request": "launch", "module": "arcade_mcp", "args": ["--debug", "--reload"], "cwd": "${workspaceFolder}", "env": { "PYTHONPATH": "${workspaceFolder}" } } ] }

Best practices

Project structure

Organize your effectively:

PLAINTEXT
my-project/ ├── .cursor/ │ └── settings.json # Cursor-specific settings ├── .env # Environment variables ├── .env.example # Example environment file ├── tools/ │ ├── __init__.py │ ├── data_tools.py # Data processing tools │ ├── api_tools.py # API interaction tools │ └── utils.py # Utility tools ├── requirements.txt └── README.md

Tool development tips

  1. Use type hints: Enable better IDE support
Python
from typing import Annotated @tool def process( data: Annotated[str, "Input data to process"], format: Annotated[str, "Output format"] = "json" ) -> Annotated[dict, "Processed data"]: """Process data in the specified format.""" pass
  1. Provide clear descriptions: Help Cursor understand usage
  2. Handle errors gracefully: Return helpful error messages
  3. Use logging: Enable debug mode for troubleshooting
  4. Test incrementally: Use Cursor’s integrated terminal

Performance optimization

  1. Lazy loading: Import heavy dependencies inside
  2. Cache results: Use caching for expensive operations
  3. Async support: Use async for I/O operations
  4. Resource management: Clean up resources properly

Troubleshooting

Common issues

Server not starting

  1. Check Python path and virtual environment
  2. Verify arcade-mcp installation
  3. Enable debug logging to see errors
  4. Check for import errors in files

Permission errors

  1. Ensure proper file permissions
  2. Check working directory access
  3. Verify environment variable access

Connection issues

  1. Restart Cursor after configuration changes
  2. Check for conflicting servers
  3. Verify stdio transport is working

Debugging steps

  1. Enable debug mode in your configuration
  2. Check Cursor’s output panel for logs
  3. Test using the command line first
  4. Use Cursor’s Developer for detailed logs

Example: Complete setup

Here’s a full example of setting up a Cursor workspace with :

  1. Create workspace structure:
PLAINTEXT
my-workspace/ ├── .cursor/ │ └── settings.json ├── .vscode/ │ └── tasks.json ├── tools/ │ └── my_tools.py └── pyproject.toml
  1. Configure .cursor/settings.json:
JSON
{ "mcp.servers": { "workspace-tools": { "command": "python", "args": ["-m", "arcade_mcp", "stdio", "--debug"], "cwd": "${workspaceFolder}", "env": { "PYTHONPATH": "${workspaceFolder}" } } } }
  1. Create tools/my_tools.py:
Python
from arcade_mcp_server import tool from typing import Annotated import json @tool async def format_json( data: Annotated[str, "JSON string to format"] ) -> Annotated[str, "Formatted JSON"]: """Format JSON data with proper indentation.""" parsed = json.loads(data) return json.dumps(parsed, indent=2) @tool def analyze_code( file_path: Annotated[str, "Path to analyze"] ) -> Annotated[dict, "Analysis results"]: """Analyze Python code quality.""" # Implementation here pass
  1. Restart Cursor and start using your !
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