interactive-mcp

Enables interactive communication between large language models and users via Model Context Protocol, offering tools for user input prompts, OS notifications, and persistent command-line chat sessions on local machines.

Enables interactive user input and option selection for AI tools via Model Context Protocol, enhancing decision-making, reducing resource waste, and supporting CLI, Web, and PyQt interfaces for seamless AI-user communication.

A TypeScript and Express-based Model Context Protocol server offering HTTP and stdio transport, with built-in resources, tools, and prompts to standardize and enhance context provision for large language models.

Enables seamless bidirectional communication between Unity and local Large Language Models via Model Context Protocol, allowing automated asset management, scene control, material editing, script integration, and Unity Editor automation without cloud dependencies.

Enables AI agents to interact with local Logseq instances via Model Context Protocol, providing comprehensive tools to manage pages, blocks, and journal entries for seamless knowledge graph integration and automation.