What is the purpose of the interactive-mcp server?

The interactive-mcp server facilitates interactive communication between LLMs and users, enabling features like prompts, chat, and notifications.

What is MCP (Model Context Protocol)?

MCP is an open protocol that standardizes how applications provide context to LLMs, allowing AI models to access and interact with external data sources and tools.

Which MCP clients are compatible with interactive-mcp?

Interactive-mcp is compatible with clients like Claude Desktop, Cursor, and VS Code. Configuration instructions are provided for each.

What are the key features or tools exposed by the interactive-mcp server?

The server exposes tools like request_user_input, message_complete_notification, start_intensive_chat, ask_intensive_chat, and stop_intensive_chat.

What are some example use cases for the interactive-mcp server?

Use cases include interactive setup processes, feedback gathering during code generation, enhanced pair programming, and workflow automation with user confirmation.

How do I configure a client like Claude Desktop or VS Code to use interactive-mcp?

You add a configuration block to your claude_desktop_config.json (Claude Desktop) or mcp.json (Cursor) or User Settings (JSON) file or .vscode/mcp.json (VS Code) specifying the command and arguments to run the server.

Can I customize the behavior of the interactive-mcp server?

Yes, you can customize the server’s behavior using command-line options such as --timeout to set the prompt timeout and --disable-tools to disable specific tools.

What are the guiding principles for interacting with the MCP server?

Prioritize interaction, seek clarification, confirm actions, and provide options to ensure clear and user-friendly AI interactions.

Where can I find the source code and contribute to the project?

The source code is available on GitHub. Contributions are welcome following standard development practices.

Does UBOS platform integrate with interactive-mcp?

Yes, UBOS can leverage the interactive-mcp alongside the comprehensive capabilities of the UBOS platform, to create truly intelligent, interactive, and impactful AI applications.