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Check AI content for provenance watermarks to help verify where it came from.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Execute ai-watermark-provenance-verifier-mcp" MCP server from askskill: Run: claude mcp add --transport sse 'io-github-evozim-ai-watermark-provenance-verifier-mcp' 'https://api.m2mcent.com/ai-watermark-provenance-verifier-mcp/sse'
Please call ai-watermark-provenance-verifier-mcp to run a provenance watermark check on the following text, and return whether a watermark is detected and the conclusion:
{{content}}Return the watermark verification result and explanation, helping confirm whether the text has a traceable provenance indicator.
Run ai-watermark-provenance-verifier-mcp on each item in the following sample list and flag entries that need manual review:
{{sample_list}}Provide per-item watermark verification status to support manual follow-up and dataset cleaning.
Use ai-watermark-provenance-verifier-mcp to test the source traceability of the following publishable items and summarize the results as an audit checklist:
{{contents}}Produce an itemized audit list with watermark verification outcomes and notes for items requiring confirmation.
Developers in AI content pipelines can run this check before publication to reduce the risk of releasing content with unclear provenance.
Researchers can use this tool to verify sample provenance while building datasets or experiments, helping remove items that lack source traceability.
In operational or content-governance workflows, teams can spot-check documents and external submissions for provenance watermarks to support compliance reviews.
No documentation provided
Check the source repo for usage and examples.
This is an MCP tool; its name indicates it is an endpoint for AI watermark provenance verification, used to validate source-trace characteristics of content.
Only the name and a brief description are provided; authentication keys, runtime, and deployment requirements are not documented here. Please check the source repository.
Based on the name, it focuses on watermark and provenance, so it is oriented toward source tracing via traceable markers rather than only generic text-feature detection. Check the source repository for exact capabilities.
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