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Frequently Asked Questions

What is the MCP Server used for? The MCP Server is used for secure remote access and execution through the Model Context Protocol, enabling AI models to interact with external data sources.

How does the MCP Server enhance AI Agents? It acts as a bridge, allowing AI models to access and integrate data from various sources, thereby enhancing their decision-making capabilities.

What are the prerequisites for setting up the MCP Server? You need Node.js (v16 or higher), a package manager like npm or yarn, and TypeScript knowledge for development.

How is data stored in the MCP Server? Data is stored using an SQLite database, which securely holds SSH credentials and other necessary information.

Can the MCP Server be customized? Yes, the server can be customized to meet specific business needs, especially when integrated with the UBOS platform for AI development.

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