addrbookFor publishers
← The evidence ledger

Evidence row 783800

Observed , by sync.mcp_registry/1.

Kind
listing
About
source_record mcp_registry:io.github.wiltodelta/remove-ai-watermarks
Recorded
Previous row
#535655
Body SHA-256
abaced604e9f1fb17a7c34b0648b4aac85f041afecfbc887f2ab286af73efc8d
Leaf
0x23a08ab2909c936bc5d8d1e9b57e72d7666ca0a57d8b451452d0e2db4c88dcf1

What was observed

{
  "endpoints": [
    [
      "web",
      "https://github.com/wiltodelta/remove-ai-watermarks/blob/main/docs/mcp-server.md"
    ]
  ],
  "name": "Remove AI Watermarks",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-28T17:39:32.539435Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T17:39:32.539435Z",
        "updatedAt": "2026-10-28T17:39:32.539435Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Identify and remove AI watermarks and provenance metadata from your own images and video.",
      "name": "io.github.wiltodelta/remove-ai-watermarks",
      "packages": [
        {
          "identifier": "remove-ai-watermarks",
          "packageArguments": [
            {
              "type": "positional",
              "value": "mcp"
            }
          ],
          "registryBaseUrl": "https://pypi.org",
          "registryType": "pypi",
          "runtimeHint": "uvx",
          "transport": {
            "type": "stdio"
          },
          "version": "0.49.0"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/wiltodelta/remove-ai-watermarks"
      },
      "title": "Remove AI Watermarks",
      "version": "0.49.0",
      "websiteUrl": "https://github.com/wiltodelta/remove-ai-watermarks/blob/main/docs/mcp-server.md"
    }
  },
  "source": "mcp_registry",
  "summary": "Identify and remove AI watermarks and provenance metadata from your own images and video."
}

What the leaf hashes

{"body":"abaced604e9f1fb17a7c34b0648b4aac85f041afecfbc887f2ab286af73efc8d","id":783800,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793211065830744,"prev":535655,"subject":"mcp_registry:io.github.wiltodelta/remove-ai-watermarks","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (231336 rows).

  1. 0x23a14c5181c4dff6f31392d97a43a4fd9692c13ba2b9358e5cea512565fcf419
  2. 0x775266ab8971c5b82084e4308b8d26ba588bfc20d49770cf079387c4926448ca
  3. 0xdce98c6d331479e69b10bc406300aec26feb90a7b3cbc86fd222ae1f80992351
  4. 0x8b952e1abe46c4d52bc955876f98e419328903072295ed08beecc7c845b949fa
  5. 0x1946c1c8d6276a7a8b253ef5213821024b58dd724fbebbe62fb042f108417acf
  6. 0x3b6629b44bea55a6bf2d338638960637c24a95a3853293820aa01d9740eb8130
  7. 0x522c968565db874b6b63db06a5a6b2256352acc5089f476e748a757947beae82
  8. 0x04f08fb89a355baeaf79f1998237b0cc5638ae1fafbb17b8efba95c0bf81bbb6
  9. 0x3bd3e551309bf2d31ea5f74edced5294b82b07b1088cfea7870acb7991eba07a
  10. 0x6e764cd4b4f111e5b39808aee24776702a7d9ab7535b717318e7814583a2912c
  11. 0xba583dfb858d36597e0331ea4346b284aa13cfcf192287fb2086182dad261725
  12. 0x1afe025bf0d97efced13e77f68b5e16c7bfb56ea13cca50c8aed2d156e60d500
  13. 0x3ce83ad86ff4f1711072c47e954f682b6a67bc60b2342af27fa493f972b6b9c0
  14. 0xa45c19ee1ddfa3971a75affe2da0c01e0a09406bb4b50c48e0d9cf0e082801a3
  15. 0x4698ebc7cbcb2286f661b867355eb6a9183e884482ee16965889e886b17d19ac
  16. 0x35e8995c30094446ec790423171382fccb377081b921295b0ae3840cc2c4f52c
  17. 0xf078ea7d84d98dbeffed23d8e67b36751e60464ffd4cfdc005e0aa6f8cb9b459
  18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f
Day root
0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e
Chained
0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be
Published
On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae

How to check it · This row as JSON