Evidence row 35544

What was observed

{
  "endpoints": [
    [
      "mcp",
      "https://open-meteo.caseyjhand.com/mcp"
    ]
  ],
  "name": "io.github.cyanheads/open-meteo-mcp-server",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-24T11:18:24.584506Z",
        "status": "active",
        "statusChangedAt": "2026-10-24T11:18:24.584506Z",
        "updatedAt": "2026-10-24T11:18:24.584506Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "description": "Global weather via Open-Meteo: forecast, historical, marine, air quality, geocoding, elevation.",
      "name": "io.github.cyanheads/open-meteo-mcp-server",
      "packages": [
        {
          "environmentVariables": [
            {
              "default": "info",
              "description": "Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').",
              "format": "string",
              "name": "MCP_LOG_LEVEL"
            },
            {
              "default": "duckdb",
              "description": "Canvas engine for openmeteo_get_forecast / openmeteo_get_historical / openmeteo_get_marine / openmeteo_get_air_quality / openmeteo_get_ensemble / openmeteo_get_flood / openmeteo_get_climate spillover. Default 'duckdb' enables DataCanvas and the dataframe_query / dataframe_describe tools. Set to 'none' to disable — those tools still bound an over-budget response to a preview with truncated: true, but nothing stages the rows they omit.",
              "format": "string",
              "name": "CANVAS_PROVIDER_TYPE"
            },
            {
              "default": "false",
              "description": "Set to 'true' to make openmeteo_dataframe_drop callable — it removes one staged table or view from a DataCanvas. Default 'false' lists the tool as disabled. Has no effect unless CANVAS_PROVIDER_TYPE=duckdb.",
              "format": "boolean",
              "name": "OPENMETEO_DATAFRAME_DROP_ENABLED"
            }
          ],
          "identifier": "@cyanheads/open-meteo-mcp-server",
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "runtimeHint": "npx",
          "transport": {
            "type": "stdio"
          },
          "version": "0.4.2"
        },
        {
          "environmentVariables": [
            {
              "description": "Selects the HTTP transport.",
              "format": "string",
              "name": "MCP_TRANSPORT_TYPE",
              "value": "http"
            },
            {
              "default": "127.0.0.1",
              "description": "The hostname for the HTTP server.",
              "format": "string",
              "name": "MCP_HTTP_HOST"
            },
            {
              "default": "3010",
              "description": "The port to run the HTTP server on.",
              "format": "string",
              "name": "MCP_HTTP_PORT"
            },
            {
              "default": "/mcp",
              "description": "The endpoint path for the MCP server.",
              "format": "string",
              "name": "MCP_HTTP_ENDPOINT_PATH"
            },
            {
              "default": "none",
              "description": "Authentication mode to use: 'none', 'jwt', or 'oauth'.",
              "format": "string",
              "name": "MCP_AUTH_MODE"
            },
            {
              "default": "info",
              "description": "Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').",
              "format": "string",
              "name": "MCP_LOG_LEVEL"
            },
            {
              "default": "duckdb",
              "description": "Canvas engine for openmeteo_get_forecast / openmeteo_get_historical / openmeteo_get_marine / openmeteo_get_air_quality / openmeteo_get_ensemble / openmeteo_get_flood / openmeteo_get_climate spillover. Default 'duckdb' enables DataCanvas and the dataframe_query / dataframe_describe tools. Set to 'none' to disable — those tools still bound an over-budget response to a preview with truncated: true, but nothing stages the rows they omit.",
              "format": "string",
              "name": "CANVAS_PROVIDER_TYPE"
            },
            {
              "default": "false",
              "description": "Set to 'true' to make openmeteo_dataframe_drop callable — it removes one staged table or view from a DataCanvas. Default 'false' lists the tool as disabled. Has no effect unless CANVAS_PROVIDER_TYPE=duckdb.",
              "format": "boolean",
              "name": "OPENMETEO_DATAFRAME_DROP_ENABLED"
            }
          ],
          "identifier": "@cyanheads/open-meteo-mcp-server",
          "registryBaseUrl": "https://registry.npmjs.org",
          "registryType": "npm",
          "runtimeHint": "npx",
          "transport": {
            "type": "streamable-http",
            "url": "http://localhost:3010/mcp"
          },
          "version": "0.4.2"
        }
      ],
      "remotes": [
        {
          "type": "streamable-http",
          "url": "https://open-meteo.caseyjhand.com/mcp"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/cyanheads/open-meteo-mcp-server"
      },
      "version": "0.4.2"
    }
  },
  "source": "mcp_registry",
  "summary": "Global weather via Open-Meteo: forecast, historical, marine, air quality, geocoding, elevation."
}

What the leaf hashes

{"body":"3add0733cdd17134372edaf6480d48fe468d50b0dc53556f3e8c0a943900902c","id":35544,"kind":"listing","method":"baseline/1","observed_us":1793025373242819,"prev":null,"subject":"mcp_registry:io.github.cyanheads/open-meteo-mcp-server","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0xca7dc7e4d4bffef16a616ac0f2f7cb5b5231e3c9fde0ae1354b7d5e2dcf8c0b9
2. 0x6ed8b514de34392afb64fdc093a9e50c53a6312f47c158e9a0face8512014080
3. 0x3a6c118a18779b4e4153d9541533a068694a3d0fbb2d5bd4d4030a2d8c8a9fcf
4. 0xac8bb155ffa27b2678585c54432996cb5afd2ad26ed71a7ff592aa43c04170c1
5. 0xbaf59fdfade245496cfce8e774b6b0e2d14f0d520701d4e1a2be737bdf677fd1
6. 0xd37e5ea04b11b05b798c6337a33792484755a5b3740060c1a8cf83a8e091fc6a
7. 0xe4d559fec7e7a0f145bb98a1e31644c7b48ed283de7373f86d8202577fd8870e
8. 0x82e6221f99ba5c071318698def14f7055e40db45efabace42e860c391fd34c3a
9. 0x5f239c7ea08ed8e208f56415a847ed86745214ff29f09ef6bf4bb80acf4d918f
10. 0xf29e8f51356c1b4788c06270d1e5deddc4d369add09932704ccd63f7e6f91c95
11. 0xd854065b5246baf332a9ace158b6f99219183612c97d95e881ab7a7e7fb3bd6b
12. 0x02a11c0460d1a42b6246e1c715f0c3098d82c39154a56e918e2c22b56ca2c978
13. 0x985acd37cc044d5aa6ad959194da8e91c81045df83517891ed92f1763a9ab825
14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae