Flutter MCP

What is flutter-mcp

flutter-mcp is a robust server solution developed by Punkpeye, designed to provide detailed insights into Flutter from its documentation. Built using TypeScript, flutter-mcp serves as a Model Context Protocol (MCP) server, which is particularly useful for AI systems like Claude. This server acts as a bridge, allowing AI assistants to access and manipulate various data sources securely and efficiently. By implementing a simple notes system, flutter-mcp demonstrates core MCP concepts, making it an invaluable tool for accessing and managing information related to Flutter.

How to Use flutter-mcp

Using flutter-mcp is straightforward, especially if you're familiar with basic server operations. Here's a simple guide to get you started:

1. Installation: Begin by installing the necessary dependencies using npm. This sets up the environment required for flutter-mcp to function optimally.

   npm install
   

2. Building the Server: Once the dependencies are installed, you can build the server to prepare it for deployment.

   npm run build
   

3. Development Mode: For continuous development and testing, utilize the watch mode to auto-rebuild the server upon changes.

   npm run watch
   

4. Integration with Claude Desktop: Configure flutter-mcp to work with Claude Desktop by modifying the appropriate configuration file (claude_desktop_config.json) to include the server command path.

5. Debugging: While debugging can be complex due to the standard input/output communication of MCP servers, using debugging tools integrated into your development environment can facilitate this process.

Key Features of flutter-mcp

flutter-mcp is equipped with several features that make it a versatile tool for managing and interacting with notes:

• Resources: The server allows you to list and access text notes using note:// URIs. Each note is characterized by a title, content, and metadata, making it easy to organize and retrieve information. The use of plain text mime types ensures simple content access.

• Tools: The create_note tool is a pivotal feature, enabling users to create new text notes effectively. By inputting a title and content, you can store notes directly in the server's state, facilitating easy management and retrieval.

• Prompts: The summarize_notes feature is designed to generate summaries of all stored notes. This function incorporates all note contents as embedded resources, providing a structured prompt that supports language model summarization, thereby enhancing your AI's ability to process and summarize large amounts of information efficiently.

flutter-mcp not only serves as a practical tool for managing Flutter-related documentation but also exemplifies the potential of MCP servers in AI-driven environments. Whether you're a developer looking to streamline access to Flutter docs or an AI enthusiast exploring MCP capabilities, flutter-mcp offers a comprehensive solution to meet your needs.