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Frequently Asked Questions

What is the primary function of the MCP Server? The MCP Server is designed to perform Trivy scans and generate a Software Bill of Materials (SBOM) in CycloneDX format, while also acting as a bridge for AI models to interact with external data sources.

How does the MCP Server enhance AI model integration? By standardizing the way applications provide context to LLMs, the MCP Server allows AI models to access and interact with a wider range of data sources, enhancing their functionality.

What platforms are compatible with the MCP Server? The MCP Server is compatible with Python 3.12 and MCP 1.6, making it adaptable for various development environments.

What are the prerequisites for installing the MCP Server? You need to install ‘uv’, ‘trivy’, and ‘Node.js’ to set up the MCP Server.

Can the MCP Server be used for enterprise-level applications? Yes, the MCP Server is designed to support enterprise-level applications by providing robust integration capabilities with enterprise data and AI models.

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