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Evidence row 33319

Observed , by baseline/1.

Kind
listing
About
source_record mcp_registry:io.github.anup-khanal/aidimag
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
f4d2ba7cbab215161116acf0fb695b31237a05847e40752860af2abaa8e3d726
Leaf
0x0851f72fe852f45513d12a3a55a6daf1b02b358bda5ff4d5eff7934fd67f10df

What was observed

{
  "endpoints": [
    [
      "web",
      "https://aidimag.com/"
    ]
  ],
  "name": "io.github.anup-khanal/aidimag",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-08-11T23:34:20.162743Z",
        "status": "deprecated",
        "statusChangedAt": "2026-08-11T23:54:24.970952Z",
        "statusMessage": "Moved to io.github.AiDimag/aidimag",
        "updatedAt": "2026-08-11T23:54:24.970952Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue.",
      "name": "io.github.anup-khanal/aidimag",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "Absolute path to the git repository whose memory store to serve. Optional: defaults to walking up from the current working directory.",
              "format": "string",
              "name": "AIDIMAG_REPO"
            },
            {
              "description": "LLM provider for extraction features (chat_harvest, knowledge ingestion): openai | ollama | off. Optional: auto-detected.",
              "format": "string",
              "name": "AIDIMAG_LLM"
            },
            {
              "description": "OpenAI API key, used only if the OpenAI provider is selected/detected for extraction features.",
              "format": "string",
              "isSecret": true,
              "name": "OPENAI_API_KEY"
            }
          ],
          "identifier": "aidimag",
          "packageArguments": [
            {
              "description": "Start the aidimag MCP server over stdio",
              "type": "positional",
              "value": "mcp"
            }
          ],
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "runtimeHint": "npx",
          "transport": {
            "type": "stdio"
          },
          "version": "1.0.20"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/AiDimag/aidimag"
      },
      "version": "1.0.20",
      "websiteUrl": "https://aidimag.com"
    }
  },
  "source": "mcp_registry",
  "summary": "Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue."
}

What the leaf hashes

{"body":"f4d2ba7cbab215161116acf0fb695b31237a05847e40752860af2abaa8e3d726","id":33319,"kind":"listing","method":"baseline/1","observed_us":1793025368618478,"prev":null,"subject":"mcp_registry:io.github.anup-khanal/aidimag","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. 0x0851ecd0d7572a470cb5275b4dabfdde034fec37b29b61ab2a186fe3c673f02f
  2. 0xa5009fcf88cf7b81086803cb67f1c24034958225906487ddb3f8cef6767c1e70
  3. 0xb720ae637fc5486fb30b9e11ebc241f5715a0ae3e81758cdb45784898fb0f544
  4. 0x26dbce001b6e1353f6592d2da102b33c74f4d88f9a5bbb5c80601451c06a62c2
  5. 0x2610a4ce0a73c1e6167e31dd8a2705ac0d40f0d961581efd21d5ac3927aff53c
  6. 0x55b0ba4d111220c15ff4eecd685bdaa94b49833ba16da12662785f75b3411ea3
  7. 0x21e777095031621614ff951106104dac5abd4aba792520cfb9f4c21138ec8abc
  8. 0x0d895cb495363a3f47489de298f03decf5169331a66f1887d987202f166ba681
  9. 0x17487bdd8a24c59ee9743f1f5e4fe998668e6e05e30a4719999b9bec35cb8955
  10. 0x8c7a98ae2cb4ce9806641729f82b9b19104c8b000de3727bbd7eb046927d1d21
  11. 0x3585060104222ad1aae3396450719e555d4d013fa2b3a7b43777a1722ca9ce22
  12. 0x6003e14d04cde1d24b195ac15b568dd483e04047e0f2ff64d9632a51a8f7123d
  13. 0xe5a836cf25a8dfc72c9e3b6a69a7561a1f61f50f9cf36707d36f6e926aa15dec
  14. 0xa96bb9408ce00a0d40ddaba8736257dfce76d5478b131d69db1afdf8a824312b
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON