Frequently Asked Questions (FAQ) about TanukiMCP Maestro

Q: What is TanukiMCP Maestro?

A: TanukiMCP Maestro is an MCP (Model Context Protocol) server that provides intelligent orchestration and session management for Large Language Models (LLMs). It enables LLMs to manage complex multi-step workflows through structured sessions, task decomposition, and capability management.

Q: What is MCP (Model Context Protocol)?

A: MCP is an open protocol that standardizes how applications provide context to LLMs. It acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What are the key capabilities of TanukiMCP Maestro?

A: The key capabilities include session-based orchestration, intelligence amplification, web research, code execution, and error handling.

Q: What tools are available in TanukiMCP Maestro?

A: The available tools are: maestro_orchestrate, maestro_iae (Intelligence Amplification Engine), maestro_web, maestro_execute, and maestro_error_handler.

Q: How do I access TanukiMCP Maestro?

A: TanukiMCP Maestro is available as a managed service on Smithery.ai. You can add it from the Smithery marketplace to your MCP environment.

Q: What are the technical specifications of TanukiMCP Maestro?

A: The technical specifications include: MCP 2024-11-05 protocol, container-based deployment on Smithery.ai, scaling from 1-10 instances, 512Mi memory, and 0.5 CPU per instance.

Q: What security features does TanukiMCP Maestro have?

A: The security features include sandboxed execution, timeout controls, rate limiting, and input validation.

Q: Is TanukiMCP Maestro free to use?

A: This project is licensed under a Non-Commercial License. Commercial use requires approval from TanukiMCP. Contact tanukimcp@gmail.com for commercial licensing inquiries.

Q: How does TanukiMCP Maestro relate to UBOS?

A: UBOS is a full-stack AI Agent Development Platform. TanukiMCP Maestro can be used with UBOS to connect AI Agents with external data sources and tools, enhancing their capabilities and integration with enterprise systems.