Getting started with CAST Imaging MCP Server
An MCP (Model Context Protocol) server is a standardized way for AI applications to connect to external data sources and tools. MCP servers act as intermediaries that expose resources (like files, databases, APIs) and tools (like functions, scripts) to AI models through a standardized interface. This creates a secure bridge between the AI and external systems.
In the context of CAST Imaging, an MCP server is required if you want to interface AI clients such as Github Copilot and Claude Desktop with CAST Imaging results via its API.
See the installation and configuration instructions below.
This option is specifically for a direct installation on your Microsoft Windows machine.
/ This option is specifically for a direct install on Docker running on a Linux operating system. All components are provided as Docker images.
Answers to a series of security and data safety related frequently asked questions about CAST Imaging’s MCP (Model Context Protocol) server.