Frequently Asked Questions (FAQ)

Q: What is an MCP Server? A: MCP stands for Model Control Protocol. An MCP server acts as a bridge, standardizing how applications provide context to Large Language Models (LLMs). In the case of the Gausium OpenAPI MCP Server, it allows AI models to interact with Gausium robots through a standardized interface.

Q: What are the key features of the Gausium OpenAPI MCP Server? A: Key features include a standardized MCP interface, comprehensive functionality (listing robots, getting robot status, retrieving task reports, managing robot maps), a layered architecture, OAuth token management, detailed documentation, and easy setup and configuration.

Q: What are some use cases for the Gausium OpenAPI MCP Server? A: Use cases include smart cleaning and disinfection, logistics and warehousing, hospitality and customer service, security and surveillance, and more.

Q: How do I set up and run the Gausium OpenAPI MCP Server? A: The setup process involves cloning the repository, creating and activating a virtual environment, installing dependencies, configuring credentials, and running the server using python main.py.

Q: What is UBOS and how does it relate to the Gausium OpenAPI MCP Server? A: UBOS is a full-stack AI Agent development platform focused on bringing AI Agents to every business department. The Gausium OpenAPI MCP Server integrates seamlessly with UBOS, allowing you to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Q: Where do I get the Gausium API Credentials? A: Gausium API Credentials, including GS_CLIENT_ID, GS_CLIENT_SECRET, and GS_OPEN_ACCESS_KEY, are obtained from the Gausium Developer Portal upon registering your application.

Q: What transport methods does the MCP server support? A: By default, the server uses SSE (Server-Sent Events) transport on http://0.0.0.0:8000. You can modify main.py to use stdio transport if needed.

Q: How do I connect an MCP client, such as Cursor, to the server? A: An MCP client can connect to the running server via the appropriate transport (SSE or stdio) to utilize the defined tools.

Q: Where can I find debugging information? A: You can monitor the server logs for debugging information. The basic logging configuration in main.py provides timestamps, levels, and source information.