Evidence row 776504

What was observed

{
  "endpoints": [
    [
      "web",
      "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
    ]
  ],
  "name": "Premiere-MCP-IMT + SKILLS — Premiere Pro for AI agents",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-28T13:41:47.331891Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T13:41:47.331891Z",
        "updatedAt": "2026-10-28T13:41:47.331891Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Premiere Pro for AI agents: every Adobe UI language, large skills library, generative AI tools",
      "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": [
        {
          "identifier": "@immersive-media-technologies/premiere-mcp-imt",
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "1.0.2"
        },
        {
          "fileSha256": "e1bfbd7842a0924a9a8485c73d642c61c250dc4783e6526cc8824a6a96eda5fb",
          "identifier": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt/releases/download/v1.0.2/premiere-mcp-imt-1.0.2.mcpb",
          "registryType": "mcpb",
          "transport": {
            "type": "stdio"
          }
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt"
      },
      "title": "Premiere-MCP-IMT + SKILLS — Premiere Pro for AI agents",
      "version": "1.0.2",
      "websiteUrl": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt#readme"
    }
  },
  "source": "mcp_registry",
  "summary": "Premiere Pro for AI agents: every Adobe UI language, large skills library, generative AI tools"
}

What the leaf hashes

{"body":"94655507202fab3e3934d59beb41a8a4edf71e04899f65e241561feae8fd3d33","id":776504,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793196656425871,"prev":737911,"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. 0xec81982cbe7fa206ef7534bed50006eb1da5d51122fc386543c50fca1c7117cd
2. 0x4ca0365610a0f19b17172f7d442803a1171ab74eb8da6916f48c908065669b72
3. 0x0401f254c7e102b32277244485076812600fcb46a07e35c94e8633b8d68c9225
4. 0xe60eec39734f981fd2aff4c2288c50018e235ea75b6e5f534a1441c0abb5ccea
5. 0x411d5fa3b3134bc9fb0786961b85830a62eae67462c4fd4a2d271fedd05aab11
6. 0x3ee8258cf1ee38a23b673e864f9e2fa8c35716a155b0a98be68393efac7eeeff
7. 0xa106677483f5f6e6853406bf759235568f5325792561b7245aab59809b06c0dd
8. 0xe7f68c6680c9bdb8d1ac5c4d523f63a80b751c31a45989613425b7f819fa7125
9. 0xbe0cb4eee6e94be5528aaf214212f13da16a3f2284e17851be06463b8588ba52
10. 0x395b64df1276a195da1fca31023ef7539906d2d67c4677ad428a8e80e9075579
11. 0xd82f6773c63cc57ac8d8723197c3003f6ec145c5ed9830fbc47d8f1ef00e2701
12. 0x5abd41e7b7a1931919102fa4bdc992773ad45a071b408cf09a3d949e46f9215f
13. 0x7c7680a693651307890c3f1e37c63eee03c1c637cfe36c210695030d5edb22bc
14. 0xfb2274fa79452c1e494276a3ee3eadb7c66f76a08a80f6923416f3d591053e02
15. 0x33bfb51cb957137510d8a1502cd50241c4c0982e2741290f3b8f2d2b1e69de70
16. 0xef2ebd45f2cfd41dc3eb213cc4cc144c46b7e9ead2de0b9f627463bad16e3ec8
17. 0x67e9ff3e48c515135fcf3df2675aa4996d35d4a328ce41588ee1a7d93347c823
18. 0xe6cfe00ae4e02bc12327e45b5f3334ea5850ba3bcc8e3101d30a8189856a95af

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae