Evidence row 727283

What was observed

{
  "endpoints": [
    [
      "web",
      "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
    ]
  ],
  "name": "PR-MCP-IMT — Premiere Pro for AI agents",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-28T00:54:29.861354Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T00:54:29.861354Z",
        "updatedAt": "2026-10-28T00:54:29.861354Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Adobe Premiere Pro for AI agents: ~380 readback-verified operations behind 9 tools, AI-tools skill",
      "icons": [
        {
          "mimeType": "image/png",
          "sizes": [
            "512x512"
          ],
          "src": "https://raw.githubusercontent.com/Immersive-Media-Technologies/premiere-mcp-imt/main/mcpb/icon.png"
        }
      ],
      "name": "io.github.Immersive-Media-Technologies/premiere-mcp-imt",
      "packages": [
        {
          "fileSha256": "aa976aebb5b23e5f78b69081ab1b0e89642234c7c100632da55e6db61f92310b",
          "identifier": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt/releases/download/v0.1.0/premiere-mcp-imt-0.1.0.mcpb",
          "registryType": "mcpb",
          "transport": {
            "type": "stdio"
          }
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
      },
      "title": "PR-MCP-IMT — Premiere Pro for AI agents",
      "version": "0.1.0",
      "websiteUrl": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt#readme"
    }
  },
  "source": "mcp_registry",
  "summary": "Adobe Premiere Pro for AI agents: ~380 readback-verified operations behind 9 tools, AI-tools skill"
}

What the leaf hashes

{"body":"6922f8ba05d3b52d98cfe2422ac6e751c5a26cbe5229597e8755d99e890cadb2","id":727283,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793151676165857,"prev":null,"subject":"mcp_registry:io.github.Immersive-Media-Technologies/premiere-mcp-imt","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-28 (231336 rows).

1. 0x6d60cc34f86702308bb5c4f7e4d9367675f4ca1a39973b08460e5d9cc015a8b2
2. 0x8772575d096a61db44ee27dbd77fc7f65a238886a24efcb3b495000c3c834797
3. 0x5e4e3f4493fb8e05f96c6d75c4e6e554e589812f63fc2d94a98ffa196df44d0c
4. 0x118b7bdc7b69365e335cd871c2b3117b59674c756d6d74cf399df57d2c19d859
5. 0x8e07fefbdf8c36218d206a1f9a11d42df6f40cbdf38bc960afb9ad4b07be7827
6. 0xf0d3c8f8bab8171428d9dc439b579d436814315c84ff19a2397fe974ea90d10f
7. 0xf0eb19c3835395e8f887dfb6102c975b96b5625a929a3b7e4efce0d0cb62c29c
8. 0x90006757de7dd6afa8f6ceabddc7e5c400879929bc788e02468119a9d6a00e29
9. 0x0da0c2a2ee3c4c0966770870296c90135d3ca0c1e75d6495d3bcbb92317e64ca
10. 0xc7842d6620e231cc8012345a55351f65946dfc793af220d2a59e8ab0d9bdae2e
11. 0x01d9a85eb33cb0c02dcfdd82f6775a30ea866ef2a89da712cc6c2508ffa4464d
12. 0x88845266740acfdcd21831fcd6c466a7b595d7dc73e7d99e39b94c1b4e60e20c
13. 0x7f155f68af02d8849db98e7526c24e043693127acc289e6a058a9d26a9c83335
14. 0x13a2df73da081eeb4e6752fd2a3d176d9f2a8d2dd01b46f18b266eb7116ace2f
15. 0xab4e84d781dccd579dcf5c47a356a4a2e6cac58a2aefdf3543a3fa15238fa4db
16. 0x74cf00e07b52415c2184cf20be69d195ed2725497a6892c2f3e449497c17d0ec
17. 0x7a743a0a09057bae687051274e1d45bf973bd36a1a4ba16a191b5d29e3bdfa2a
18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae