Evidence row 737911

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": "2026-10-28T03:39:03.732879Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T03:39:03.732879Z",
        "updatedAt": "2026-10-28T03:39:03.732879Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Adobe Premiere Pro for AI agents on any UI language: ~380 verified operations, 9 tools, AI 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": "ce2ade6fda8b26dc6167728e4c0a57a6ecc2f06cd4b48c137f6ce78db496f1b8",
          "identifier": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt/releases/download/v1.0.0/premiere-mcp-imt-1.0.0.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": "1.0.0",
      "websiteUrl": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt#readme"
    }
  },
  "source": "mcp_registry",
  "summary": "Adobe Premiere Pro for AI agents on any UI language: ~380 verified operations, 9 tools, AI skill"
}

What the leaf hashes

{"body":"341fac5f29e591caa0b0614365552e4f25d72b39067067ea787edb64c083f4e3","id":737911,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793158878456381,"prev":727283,"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. 0xbabaf8a31da7508a6ae0bbbda72c59ae33f8920f2d4595c538e5569849082d9f
2. 0x718b0f7bb1f5a48931196d16bc94d0c85d284d608cc5e56382935e066e3579f5
3. 0xcc8647d39499d391d1dc9899f13322ae37481eb0858db25851aea97baf5ae782
4. 0x0f14b5745fea4c83b35aa61e30b573475ebeba9d27a1c7d7fe48a0a6d4728538
5. 0xb34acc170ff0b863a956568b04d6c86c845c2eb18c01f71520df446ae3731403
6. 0x3c1b253bc24e14edcd799f21a56164ab15c8c298c9353a6c735b11e32cef1459
7. 0xad6b2710a060d5cbeca64f2c8421dad7cfcda63774b5faf6ddfb375ba4464d93
8. 0xfaf89f07445ab4d1509e7f4dab50d84b4a4f7cd2dd90efb3c2f0913a33a22a16
9. 0x357b60ec5d38ddfb92deb8eec52b5420ba5ccf73283fab1d992a0984d802ab4b
10. 0xd3d03c6233e506153561c7ff883dddbb655958f18d7db628b76ef0d383c5caa7
11. 0x41fcd0634497d07fc871c8ffb8d2315fe3d42ffda94ae2c61b335f1c7555441d
12. 0xa42249b090ae432aa9ec0f4e12cf99fad33a8413dd4f3af6b68755cb14247205
13. 0x744c716c853a3362037fdca13f258e5f46e796ddc212d5fca6bed32d9a3b234a
14. 0xbff5cb8c10a36d79ad312f3729888eb704e81907920e704f80c8e5b670139050
15. 0xc21e7661f5d6220994a88cc71b1262eeee3b912a2d383d18f38a631c534bfd71
16. 0x32beeeb960280bc48748681cb10297ede9403461fe9c8143fdf946548e552926
17. 0xe08e8bd91858a8a10c46ecde9c29a6288b960987303173c5e882afb46ce91fa0
18. 0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae