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Evidence row 40202

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.konkomaji/opentoonz-mcp
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9466455d6fd7ea7d35f6dba05ce26a238ff494a815e4f14535e73d3da10571ab
Leaf
0xfd4baf99297d369b657a5a91b4c0006b124a0949cfc68ad6221f7555d11cf708

What was observed

{
  "endpoints": [
    [
      "web",
      "https://konkomaji.com/"
    ]
  ],
  "name": "OpenToonz MCP",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-22T08:19:51.870046Z",
        "status": "active",
        "statusChangedAt": "2026-10-22T08:19:51.870046Z",
        "updatedAt": "2026-10-22T08:19:51.870046Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Animate in OpenToonz from an AI assistant: native vector levels, xsheet timing, rigs and physics.",
      "name": "io.github.konkomaji/opentoonz-mcp",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Folder containing OpenToonz.exe and tcomposer.exe (auto-detected when unset)",
              "format": "string",
              "name": "OPENTOONZ_HOME"
            },
            {
              "description": "OpenToonz stuff folder, TOONZROOT (auto-detected from the registry when unset)",
              "format": "string",
              "name": "OPENTOONZ_STUFF"
            },
            {
              "description": "Where the server keeps state, undo snapshots, renders and learned lessons",
              "format": "string",
              "name": "OTMCP_WORK"
            }
          ],
          "identifier": "opentoonz-mcp",
          "registryType": "pypi",
          "transport": {
            "type": "stdio"
          },
          "version": "0.1.0"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/konkomaji/opentoonz-mcp"
      },
      "title": "OpenToonz MCP",
      "version": "0.1.0",
      "websiteUrl": "https://konkomaji.com/"
    }
  },
  "source": "mcp_registry",
  "summary": "Animate in OpenToonz from an AI assistant: native vector levels, xsheet timing, rigs and physics."
}

What the leaf hashes

{"body":"9466455d6fd7ea7d35f6dba05ce26a238ff494a815e4f14535e73d3da10571ab","id":40202,"kind":"listing","method":"baseline/1","observed_us":1793025396848452,"prev":null,"subject":"mcp_registry:io.github.konkomaji/opentoonz-mcp","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xfd4b6e796137869cb3db50737372bc1d2eae420ac3285f2e071d12abf2f68ed0
  2. 0x6f7c97a03e1c3098c85a744b452e39f304e1deb80e0bdb424c81c80ebe774f2c
  3. 0x57f0d1b744ccfcbeacd0882cea0d100d87ad66a043aec7233dc07d77f01f338d
  4. 0x56805aa52408b93864f2f1e65338304e59fcdda1e87a0088fb09fa8d169c6c3f
  5. 0x79d91cf34d026fdf3ab6ac75d52d30b036586bec26ca9067926738e1a98b0f2a
  6. 0x2ccaa6a6d48b59ae0f318490782be324b403cd2215f077198e29176d7e8af799
  7. 0x54efd281bb4ef97817ce6d4185f602ee75ade1467b3be4902e35ae45e8b761e6
  8. 0x84fcbf9084b28f238438ac4d9876478372649681b2009b8d5736b9967ba7cf40
  9. 0x6e1f0afcddd1b3d9cd8cd2ff05e97191611187b7d5935f01db5dc676eff2d6a4
  10. 0x18a4daa4511fe79833aca9d1cfcd84bb5da542f81ee07b2f2e60bedd15a277cc
  11. 0x2e09594bba0b7c90654eee0c9a8e6b9ed83ead47a7e7c90e73414beaf0ad4088
  12. 0xa1d268c111b09550fdb70b6d9d0b58c94dc828b083baa8f1360300aab6230a9c
  13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
  14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON