Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
Provides an MCP tool that analyzes images from local paths, URLs, or data URLs via a vision language model, returning structured descriptions (brief, detailed, summary) so text-only LLMs can understand image content.
MCP server for reading C2PA content provenance manifests from media files, enabling natural language queries about AI-generated content, signatures, and provenance.