Evidence row 1051705

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://app.mandala.computer/mcp"
    ],
    [
      "web",
      "https://mandala.computer/"
    ]
  ],
  "name": "Mandala Computer",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-29T18:34:58.794303Z",
        "status": "active",
        "statusChangedAt": "2026-10-29T18:34:58.794303Z",
        "updatedAt": "2026-10-29T18:34:58.794303Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks.",
      "name": "io.github.mandalacomputer/mcp",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "API key from Settings → Credentials → API keys. Optional after `mandala login`, which saves one.",
              "format": "string",
              "isSecret": true,
              "name": "MANDALA_API_KEY"
            },
            {
              "description": "Optional Anthropic or OpenAI key. Enables run_agent_chat, and makes run_agent and start_agent_run bill this key instead of the account's AI credits.",
              "format": "string",
              "isSecret": true,
              "name": "MANDALA_MODEL_KEY"
            },
            {
              "description": "Optional saved profile from `mandala login --profile`; used when MANDALA_API_KEY is not set.",
              "format": "string",
              "name": "MANDALA_PROFILE"
            },
            {
              "description": "Optional API base URL. Defaults to https://app.mandala.computer/api/v1.",
              "format": "string",
              "name": "MANDALA_BASE_URL"
            },
            {
              "description": "Optional computer id to bind at startup, so use_computer is not needed.",
              "format": "string",
              "name": "MANDALA_COMPUTER_ID"
            },
            {
              "description": "Optional: 1, true, yes or on withholds the tools that create, clone or delete computers and snapshots.",
              "format": "string",
              "name": "MANDALA_NO_LIFECYCLE"
            },
            {
              "description": "Optional: 1, true, yes or on keeps only read-only tools.",
              "format": "string",
              "name": "MANDALA_READ_ONLY"
            },
            {
              "description": "Optional comma-separated tool tags to expose (for example computers,input); empty means every tool.",
              "format": "string",
              "name": "MANDALA_TAGS"
            }
          ],
          "identifier": "mandala-computer-mcp",
          "registryType": "npm",
          "transport": {
            "type": "stdio"
          },
          "version": "0.20.0"
        }
      ],
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://app.mandala.computer/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/mandalacomputer/mcp"
      },
      "title": "Mandala Computer",
      "version": "0.20.0",
      "websiteUrl": "https://mandala.computer"
    }
  },
  "source": "mcp_registry",
  "summary": "Cloud desktops for AI agents: create a Linux computer, see its screen, click, type and run tasks."
}

What the leaf hashes

{"body":"0d1337db10496889c00ddc9580d2a9e6fb1a4aa05c069aa4b8469b4457c80b96","id":1051705,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793301225770108,"prev":1034213,"subject":"mcp_registry:io.github.mandalacomputer/mcp","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-29 (242798 rows).

1. 0xe01655c244c8f73c639af7f8285266b0a4b55d4c381c776d4c0079713914dfee
2. 0x612d8179b7477b81e6677cefa9b509ddb832e74770d091d3293dca9abcc5df05
3. 0x83a4360b031db62a967cd0f7a8ddbf5a9503a60e5cef20bc4f64e5301ed1ef17
4. 0x5444c7ab247115cfc20f842ec81143a6c97de574a5cd57b0fd372737283858c4
5. 0x0e9c61225f262709e936a9722780cc9b6df6ecb1c18bc438d0125732d0f5e173
6. 0xac0120d4c88dfadab3c9ae7785ae8d0a926eba25485c33f554ed0f569a5ddab7
7. 0x057433f8f0cdfb7c66af11635111a5730f6820396b2f5559dba9896edc5cf1e8
8. 0x04f4b934a8a2fe10ecc7b19a8876beb0e79a2325bf58bce848f7d6535eb48810
9. 0x5eba0a6e2498efd043cd4e1873df9598be403da39fa0f4e0d9e7661d1fb0a8df
10. 0x4ce6c975b8e43724b0990c59ae8acce868d51db7a0f438c95a257358ed05a115
11. 0x17888067c344707222a1a35c7975de2c75848c487d3756a917c9a45f255c01a9
12. 0x0a1e9d152c6b62d40c58741a87f85f3868a66ce64462c44c61e6461da548462a
13. 0x064aad02bfe6e55281a4da30da2a91a289f618df1d6a346db244682ddd6c8d93
14. 0xb75e183026f9112474e3710d846b63188d3bba750c3ad3feabd9a22ee7d080fc
15. 0xa7d3fa0a08edea990614977b51a6b3289c357a88d8ca06dcbfe67415a017c0e7
16. 0xa034ebc8d117fbf1ed466b70baa0478bf213b743e1a41cba1d2da7a9f310184d
17. 0x1597ec94933260048e5e583aff1ad0fd44cc49efcd0a994091ed5db4924d7b02
18. 0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1