Evidence row 806164

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": "2026-10-28T20:43:50.3902Z",
        "status": "active",
        "statusChangedAt": "2026-10-28T20:43:50.3902Z",
        "updatedAt": "2026-10-28T20:43:50.3902Z"
      }
    },
    "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": "1.1.0"
        },
        {
          "fileSha256": "755bc3ac6d686bd1dfefc9e05f02caaef437fbbfd8186a6d540d64e07a949570",
          "identifier": "https://github.com/Immersive-Media-Technologies/premiere-mcp-imt/releases/download/v1.1.0/premiere-mcp-imt-1.1.0.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": "1.1.0",
      "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":"4f7e44fd4fbe50d3e9006dae23c88c1bc5fb80625cbae278c0e6d896f1c21c62","id":806164,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793221954250892,"prev":776504,"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. 0x2076b743aae848c9262da6d81f3ce48c2ebc90fa9cdd4aed5d23ed741e0b01ff
2. 0x2cf2822888c00f17d2ce5e81f449c6538f4816ec998ccf3cd1fb0a8ad3866f88
3. 0xb9a9e6b4472686faf0a98c3812b470a43cf3d71c74f4ad24d51821539d6c01a2
4. 0x003df06d57c70c196e716263a86d1454e286298b2fc5b80cf59d7f1401d28b5c
5. 0x1220d3885ec4ed510e11d2c8541facd9fa25dfd8acb52710d95b33a384f14aba
6. 0xe1528a895e9fb4ced9ee6ae1a12a64752e1d59cec5a4211ff1424eebbbcb7a3c
7. 0x03b26ba56c09682d5e15ba30dcb0d72e55e4c4551f20b16b99fb655a0c5ff7c6
8. 0xb4a2a853aaebc973ada3b7d9fbe4bdda9e29666b6c55f71162ac4eda8b944002
9. 0xd1e6f3509efb978d39ef6e427f1cc89438c5adb3c615ac06d2855fc2d0ad2948
10. 0x66d42f09562ff2e37865caff2631f7ea19babafd352d96f10a9db2f4c9c855ff
11. 0xec9eea179a54d408677f40ecb33d3d42c9f35653b9b7c22ed3447186c6c84cb1
12. 0xc93ece3e0a59b69f5b389bd42331a474e675f503f26ab5494a941fa4f5327261
13. 0x3ce83ad86ff4f1711072c47e954f682b6a67bc60b2342af27fa493f972b6b9c0
14. 0xa45c19ee1ddfa3971a75affe2da0c01e0a09406bb4b50c48e0d9cf0e082801a3
15. 0x4698ebc7cbcb2286f661b867355eb6a9183e884482ee16965889e886b17d19ac
16. 0x35e8995c30094446ec790423171382fccb377081b921295b0ae3840cc2c4f52c
17. 0xf078ea7d84d98dbeffed23d8e67b36751e60464ffd4cfdc005e0aa6f8cb9b459
18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae