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Evidence row 1740074

Observed , by sync.mcp_registry/1.

Kind
listing
About
source_record mcp_registry:io.github.mims-harvard/tooluniverse
Recorded
Previous row
#42985
Body SHA-256
1f681a594aa977430d61ff862d9fbffafb493becf7aba2ba5769cade9b985d89
Leaf
0x7318d7c7f6373003562b55aaefee7f70829a89aebbcff22168ca3caa70cbc6c4

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": "2026-11-01T05:03:35.98943Z",
        "status": "active",
        "statusChangedAt": "2026-11-01T05:03:35.98943Z",
        "updatedAt": "2026-11-01T05:03:35.98943Z"
      }
    },
    "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": "1.5.8"
        }
      ],
      "repository": {
        "source": "github",
        "url": "https://github.com/mims-harvard/ToolUniverse"
      },
      "version": "1.5.8",
      "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":"1f681a594aa977430d61ff862d9fbffafb493becf7aba2ba5769cade9b985d89","id":1740074,"kind":"listing","method":"sync.mcp_registry/1","observed_us":1793510232437265,"prev":42985,"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 (302406 rows).

  1. 0x7318cc08a083d70780a71b9197caefc7d5d7c78864a9906f0c40122330f8870c
  2. 0x420aa37abe3d5bafaa7c1e8ebc76564880922241fae1cd6df12e6c76c9536d3b
  3. 0x6c1ac3ef34d8626671613a3997ef7bf6092da8f7707c70fe097e6cfdb9443b82
  4. 0xe281fce1af2b47acf0c699938f131b7d11974f626a9495511332d2124cdd1b4a
  5. 0x3c7ec9e8def007191a9c82c378b86ddd30e9e77464768525c337589f21e0f566
  6. 0x79ea0c0a8fc1287977b0509a66896b84aa3c1a6271d0e33673cd6b52916e8cfa
  7. 0x9af6fd4e4c03acb3a75853d47600a99face36bf9d6a6d4dd0cab7a02a7ad3399
  8. 0x20589b3c966b2c14d98588beb371d83d9bd050070a929e74889e24a368f134cd
  9. 0x116837bc7933693cd0460bf1b6a33eb091c8e090bfcf6ccefe556faa7d54ddd5
  10. 0x1cef7155b8ec83f162f7e0063fbfc86e84e434f6cdcf74c821ff89f871662f43
  11. 0xbd434dde6c15bb6ddce848ee8501d0740518a6e9c9f286ff5b7fbacd38566805
  12. 0x9225199f9f9007724cfab30f8252870de214e3fa4464c9b48797718fda302667
  13. 0xeed7e951b5e4701a6d9e1ccb44369bdaeb14efaf3655042a73f8487da4230bf1
  14. 0x3c3408392402b125bd2c2cfb11c655ba3e5ef4f456caee26d4ee38a093e93c53
  15. 0x614dbc600bca0766e288d2a5ebb7709ac565230ac6acdc88a5e4a7a5ff53c58e
  16. 0xe329dbfb0db2c7f35334e66970a8ee37ee2d3356d34d692c10f84b6f7de65a35
  17. 0x0c618c42b286ad61acd8204aa6dcf024b8b041d3759aa585bf4e221abc39cb5d
  18. 0x6142ac48fda269c17791c79da99c2456ac6acfe98268f4d168a404fd6040c703
  19. 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
Day root
0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
Chained
0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
Published
On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90

How to check it · This row as JSON