Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly document processing and AI agents that connect over MCP โ source available on GitHub.
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AI Coding / Catalogue record

Catalogue record
github.com
๐ โ๏ธ ๐ ๐ช ๐ง - Verify a photo's capture time and provenance before an agent trusts it: cryptographic C2PA Content Credentials validation again...
Field notes
๐ โ๏ธ ๐ ๐ช ๐ง - Verify a photo's capture time and provenance before an agent trusts it: cryptographic C2PA Content Credentials validation against the official trust lists, EXIF and XMP consistency checks, and classical pixel forensics fused into one typed verdict with a 0 to 100 confidence. Free keyless tier, opt-in shareable verdict permalinks, and key-gated signed PDF audit reports. Provenance validation, not a deepfake detector. npx chronoverify-mcp
Best for
Developers using AI assistance for code generation, review and refactoring, particularly document processing and AI agents that connect over MCP โ source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
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Evidence summary
Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly document processing and AI agents that connect over MCP โ source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / beeswaxpat/chronoverify-mcp
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Record provenance
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