mcp_flutter

mcp_flutter

3.6
developer_toolsai_chatbot

If you are the rightful owner of mcp_flutter and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Model Context Protocol (MCP) server connects Flutter apps with AI coding assistants.

The MCP Server + Flutter MCP Toolkit is designed to integrate Flutter applications with AI-powered development tools. It allows developers to connect their Flutter apps with AI coding assistants such as Cursor, Claude, Cline, Windsurf, and RooCode. The server facilitates communication between the Flutter app and AI tools, enabling features like error analysis, screenshot capture, and view details retrieval. The toolkit is particularly useful for debugging and enhancing the development process by providing AI-driven insights and automation. The server is verified by MseeP.ai, ensuring a level of security and reliability. It is compatible with various platforms, including macOS and iOS, and is designed to be easily configurable and extendable.

Features

  • AI Integration: Connects Flutter apps with AI coding assistants for enhanced development.
  • Error Analysis: Retrieves and condenses error information from Flutter apps.
  • Screenshot Capture: Captures screenshots of the running application for analysis.
  • View Details: Provides screen size and pixel ratio information for widget selection.
  • Security: Verified by MseeP.ai for safe usage in debug mode.

Tools

  1. Utility Methods

    Such as get_active_ports, get_supported_protocols, etc., used for auxiliary functions

  2. Debug Methods

    Such as debug_dump_render_tree, debug_dump_layer_tree, etc., used for debugging

  3. Inspector Methods

    For example inspector_screenshot, it is used to check the UI

  4. DartIO Methods

    For example, dart_io_get_version is used to obtain Dart-related information

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