Frequently Asked Questions (FAQ) - UBOS MCP Server

Q: What is an MCP Server? A: MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools, such as a video surveillance system (VMS).

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs) and other AI systems.

Q: What are the prerequisites for using the UBOS MCP Server? A: You need Python 3.12+, the vmspy library, the Pillow library, and a compatible VMS server installed.

Q: Where can I download the vmspy library? A: You can download the vmspy library from the link provided in the documentation: vmspy1.4-python3.12-x64.zip.

Q: How do I install the required Python dependencies? A: Install Pillow using pip: pip install Pillow. For vmspy, extract the downloaded zip file into your mcp_vms directory.

Q: Where can I download the VMS server? A: Download the VMS server from: http://surveillance-logic.com/en/download.html.

Q: How do I configure the MCP Server to connect to my VMS? A: Configure the server settings in the mcp_vms_config.py file, including the VMS URL, port, access ID, and password.

Q: What are the main features of the UBOS MCP Server? A: Key features include retrieving video channel information, fetching recording dates and times, fetching live and recorded images, controlling PTZ cameras, and comprehensive error handling.

Q: What are some use cases for the UBOS MCP Server? A: Use cases include smart security, retail analytics, industrial monitoring, traffic management, and healthcare monitoring.

Q: How does the MCP Server integrate with UBOS? A: The MCP Server can be used with the UBOS platform to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents for various applications.

Q: What is UBOS? A: UBOS is a Full-stack AI Agent Development Platform focused on bringing AI Agents to every business department, helping orchestrate AI Agents, connect them with enterprise data, build custom AI Agents, and create Multi-Agent Systems.