Organized AI\n\nA TypeScript client for the Model Context Protocol

what is Organized AI? Organized AI is a TypeScript client designed for the Model Context Protocol (MCP), enabling users to manage multiple MCP servers, API keys, and tools efficiently. how to use Organized AI? To use Organized AI, install the TypeScript client via npm, configure your MCP servers and API keys, and start utilizing the tools provided by the library in your TypeScript projects. key features of Organized AI? Support for managing multiple MCP servers Easy configuration of API keys Integration with various tools for enhanced functionality use cases of Organized AI? Developing applications that require interaction with multiple MCP servers. Managing API keys for different environments in a TypeScript project. Streamlining the integration of tools that work with the Model Context Protocol. FAQ from Organized AI? What is the Model Context Protocol? The Model Context Protocol is a standard for managing context in AI models, allowing for better organization and interaction. Is Organized AI suitable for production use? Yes, Organized AI is designed to be robust and can be used in production environments. How can I contribute to Organized AI? You can contribute by submitting issues or pull requests on the GitHub repository.

As an MCP (Model Context Protocol) server, Organized AI\n\nA TypeScript client for the Model Context Protocol enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Organized AI, install the TypeScript client via npm, configure your MCP servers and API keys, and start utilizing the tools provided by the library in your TypeScript projects. key features of Organized AI? Support for managing multiple MCP servers Easy configuration of API keys Integration with various tools for enhanced functionality use cases of Organized AI? Developing applications that require interaction with multiple MCP servers. Managing API keys for different environments in a TypeScript project. Streamlining the integration of tools that work with the Model Context Protocol. FAQ from Organized AI? What is the Model Context Protocol? The Model Context Protocol is a standard for managing context in AI models, allowing for better organization and interaction. Is Organized AI suitable for production use? Yes, Organized AI is designed to be robust and can be used in production environments. How can I contribute to Organized AI? You can contribute by submitting issues or pull requests on the GitHub repository.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.