Flutter MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed to provide detailed information about Flutter from its documentation. It implements a simple notes system that demonstrates core MCP concepts by allowing users to create, manage, and summarize text notes through specific URIs and tools.
Flutter MCP Server is useful for developers who want to check Flutter-related questions with the official Flutter documentation in a structured way. It helps organize information into notes, generate summaries of stored data, and integrates seamlessly with tools like Claude Desktop for enhanced workflows.
Flutter MCP Server was developed by robert-northmind, as indicated by the GitHub repository name 'robert-northmind/flutter-mcp'.
You can install and run Flutter MCP Server locally on your machine after cloning the repository from GitHub. For integration with applications like Claude Desktop, configuration files need to be updated on MacOS at '~/Library/Application Support/Claude/claude_desktop_config.json' or on Windows at '%APPDATA%/Claude/claude_desktop_config.json'.
Flutter MCP Server should be used when working with Flutter documentation, managing textual notes related to Flutter development, or generating summaries of such content using an LLM-based summarization tool.
To set it up, first install dependencies using `npm install`. Then build the server with `npm run build` or use `npm run watch` during development for auto-rebuild functionality.
Key features include resources representing text notes via 'note://' URIs, tools for creating new notes ('create_note'), prompts for generating summaries of all stored notes ('summarize_notes'), and plain text MIME type support for easy access to note contents.
Debugging can be done using the MCP Inspector tool, which provides a browser-accessible URL for debugging purposes. Run `npm run inspector` to start the debugging process.
MCP(Model Context Protocol,模型上下文协议)是一个开放协议,旨在标准化应用程序如何为大型语言模型(LLM)提供上下文信息。类似于 AI 应用的'USB-C 端口',MCP 确保 AI 模型能够与各种数据源和工具无缝连接。
MCP 服务器是支持 MCP 协议的服务器,能够以标准化的方式在应用程序和 AI 模型之间交换上下文信息。它为开发者提供了一种便捷的方式,将 AI 模型与数据库、API 或其他数据源集成。
MCP 服务器通过统一管理 AI 模型与多种数据源的连接,消除了开发自定义适配器的复杂性。无论是开发者、数据科学家还是 AI 应用构建者,MCP 服务器都能简化集成过程,节省时间和资源。
MCP 服务器充当中间桥梁,将来自各种数据源的上下文信息转化为 AI 模型能够理解的格式。通过遵循 MCP 协议,它确保数据在应用程序和 AI 模型之间以标准化方式传输。
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MCP 服务器支持多种数据源,包括数据库、API、云服务和自定义工具。MCP 协议的灵活性使其能够连接几乎任何类型的数据源到 AI 模型。
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是的,MCP 是一个开源协议,鼓励社区参与和协作。如需了解更多细节或参与贡献,请访问 MCP 官方文档。
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