← The evidence ledger
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).
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- 0x420aa37abe3d5bafaa7c1e8ebc76564880922241fae1cd6df12e6c76c9536d3b
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- 0xbd434dde6c15bb6ddce848ee8501d0740518a6e9c9f286ff5b7fbacd38566805
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- 0x3c3408392402b125bd2c2cfb11c655ba3e5ef4f456caee26d4ee38a093e93c53
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- 0x3315fd2757fdd435852cc277377234a3f3909a6d2a089d0e36f6d59aacfda910
- Day root
- 0x7fa2cba1cf3d6b35630896f5fe1a650adb307ea2c376e80a5f2d9276b7cb5ab3
- Chained
- 0x577ff89ba012beeff3197bcff7fa86752074bdf54205a24359cc437be2a952a4
- Published
- On Arc Testnet, block 70262758: 0x435bc1b9331471d72e1998f2e420983b5189d4da65ffbd6f27ef40daf5e1ea90