Evidence row 42985

What was observed

{
  "endpoints": [
    [
      "web",
      "https://aiscientist.tools/"
    ]
  ],
  "name": "io.github.mims-harvard/tooluniverse",
  "owner_address": null,
  "raw": {
    "_meta": {
      "io.modelcontextprotocol.registry/official": {
        "isLatest": true,
        "publishedAt": "2026-10-13T04:37:48.661849Z",
        "status": "active",
        "statusChangedAt": "2026-10-13T04:37:48.661849Z",
        "updatedAt": "2026-10-13T04:37:48.661849Z"
      }
    },
    "server": {
      "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
      "_meta": {},
      "description": "2,700+ scientific tools for AI scientists: life science, research, literature, and more.",
      "name": "io.github.mims-harvard/tooluniverse",
      "packages": [
        {
          "environmentVariables": [
            {
              "description": "OpenAI API key for LLM-based tool finding and embedding features",
              "isSecret": true,
              "name": "OPENAI_API_KEY"
            },
            {
              "description": "Anthropic API key for Claude-based features",
              "isSecret": true,
              "name": "ANTHROPIC_API_KEY"
            },
            {
              "description": "Google Gemini API key for Gemini-based features",
              "isSecret": true,
              "name": "GEMINI_API_KEY"
            },
            {
              "description": "OpenRouter API key for accessing 100+ LLM models",
              "isSecret": true,
              "name": "OPENROUTER_API_KEY"
            },
            {
              "description": "Azure OpenAI API key (alternative to OpenAI)",
              "isSecret": true,
              "name": "AZURE_OPENAI_API_KEY"
            },
            {
              "description": "HuggingFace token for accessing models and datasets",
              "isSecret": true,
              "name": "HF_TOKEN"
            },
            {
              "description": "NCBI/PubMed API key for higher rate limits (10 req/sec vs 3 req/sec). Register at https://www.ncbi.nlm.nih.gov/account/",
              "isSecret": true,
              "name": "NCBI_API_KEY"
            },
            {
              "description": "Semantic Scholar API key for higher rate limits (100 req/sec vs 1 req/sec). Register at https://www.semanticscholar.org/product/api",
              "isSecret": true,
              "name": "SEMANTIC_SCHOLAR_API_KEY"
            },
            {
              "description": "BioGRID API key for protein-protein interaction queries. Register free at https://webservice.thebiogrid.org/",
              "isSecret": true,
              "name": "BIOGRID_API_KEY"
            },
            {
              "description": "DisGeNET API key for gene-disease association data. Register free at https://www.disgenet.org/",
              "isSecret": true,
              "name": "DISGENET_API_KEY"
            },
            {
              "description": "OMIM API key for Mendelian disease data. Register at https://omim.org/api",
              "isSecret": true,
              "name": "OMIM_API_KEY"
            },
            {
              "description": "OncoKB API token for precision oncology annotations. Register at https://www.oncokb.org/apiAccess",
              "isSecret": true,
              "name": "ONCOKB_API_TOKEN"
            },
            {
              "description": "NVIDIA NIM API key for AlphaFold2 structure prediction, molecular docking, and genomics tools. Get key at https://build.nvidia.com",
              "isSecret": true,
              "name": "NVIDIA_API_KEY"
            },
            {
              "description": "USPTO API key for patent data access. Register at https://developer.uspto.gov/",
              "isSecret": true,
              "name": "USPTO_API_KEY"
            },
            {
              "description": "UMLS API key for medical terminology and concept mapping. Register at https://uts.nlm.nih.gov/uts/",
              "isSecret": true,
              "name": "UMLS_API_KEY"
            },
            {
              "description": "BRENDA enzyme database login email. Register at https://www.brenda-enzymes.org/",
              "name": "BRENDA_EMAIL"
            },
            {
              "description": "BRENDA enzyme database login password",
              "isSecret": true,
              "name": "BRENDA_PASSWORD"
            }
          ],
          "identifier": "tooluniverse",
          "packageArguments": [
            {
              "type": "positional",
              "value": "tooluniverse-smcp-stdio"
            },
            {
              "description": "Compact mode enabled by default: only exposes 5 core tools (tool finder, tool executor, etc.) to prevent context window overflow. All 2,700+ tools remain accessible via the execute_tool function.",
              "type": "positional",
              "value": "--compact-mode"
            },
            {
              "description": "Specific tool categories to load (e.g., uniprot ChEMBL opentarget pubmed). Omit to load all tools. See full list: https://zitniklab.hms.harvard.edu/ToolUniverse/tools/tools_config_index.html",
              "isRepeated": true,
              "name": "--categories",
              "type": "named",
              "valueHint": "CATEGORY"
            }
          ],
          "registryBaseUrl": "https://pypi.org",
          "registryType": "pypi",
          "runtimeHint": "uvx",
          "transport": {
            "type": "stdio"
          },
          "version": "1.5.7"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/mims-harvard/ToolUniverse"
      },
      "version": "1.5.7",
      "websiteUrl": "https://aiscientist.tools"
    }
  },
  "source": "mcp_registry",
  "summary": "2,700+ scientific tools for AI scientists: life science, research, literature, and more."
}

What the leaf hashes

{"body":"04cc0bf32f21af6edf7bbf16a020b7e53bdfae86e554340d58980597383f9baf","id":42985,"kind":"listing","method":"baseline/1","observed_us":1793025402028285,"prev":null,"subject":"mcp_registry:io.github.mims-harvard/tooluniverse","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. 0xeaabc3844d0f5ad8097e4c4310f94b33e75f22e4a99999410020117b34fd2d03
2. 0xc79bbe79cd3ece861643ff9ed14c980a8f749d346ff8ac77982fc6c7504aabbf
3. 0x25f12ee69fba145303dcc3119ed8cfd2ac024d7ad8ae40becef8ab5991ea7fbc
4. 0x999e7f23eebed533179e1a9834246946f37f6e090476e7b9842b1d4ae2e605f9
5. 0xd3283e36b9b60755e3e026229375c2a2d0d23ca8a962ada6b373a94cbc40c12b
6. 0x8f9c90f7c2df38a6304d7076212ebcdfa3fcbf44f9154f9242ee812fb6a90e3e
7. 0x1b70eb5ab3d0f191475b8ce6bc90b7b79ea85ee478bbb10b0bc97ea44efaa9dd
8. 0x43b4a8377c6efe91fc41594a4167ab794706d4b8819d4005420eb9f1685286a4
9. 0x040da2afce3b46dd19e10a07c8a922d307dc57a0b4fda58c06ade8e13100b0f9
10. 0xff16d371a8eaadc371c58dcf9b184d5ab1247c8848ee5dc228c393f057e7e29d
11. 0xdcbb0cc500d2b659c111afe9a926b2aafdcc6f6d034768498b0b7295973f9245
12. 0x22a204f0cf299dd3152f1542ba9998ff7665390da1ede6e58d06b8a7b2a107ee
13. 0xec98ca25cb12ffed7c3e1373971719ce414ee6deecd1e7724b2979e2c356d99f
14. 0x614d844c9e0509d9f9e63697aa2935555bce5f13695a8dc0047aa9e9898d70b3
15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae