io.github.mims-harvard/tooluniverse✓
io.github.mims-harvard/tooluniverse · v1.1.11
{}server.json
The full server descriptor as registered with IndusMCP.
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.mims-harvard/tooluniverse",
"description": "1000+ scientific tools for AI scientists: life science, reserach, literature, and more.",
"repository": {
"url": "https://github.com/mims-harvard/ToolUniverse",
"source": "github"
},
"version": "1.1.11",
"websiteUrl": "https://aiscientist.tools",
"packages": [
{
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"identifier": "tooluniverse",
"version": "1.1.11",
"runtimeHint": "uvx",
"transport": {
"type": "stdio"
},
"packageArguments": [
{
"value": "tooluniverse-smcp-stdio",
"type": "positional"
},
{
"description": "Compact mode enabled by default: only exposes 4 core tools (tool finder, tool executor, etc.) to prevent context window overflow. All 1000+ tools remain accessible via the execute_tool function.",
"value": "--compact-mode",
"type": "positional"
},
{
"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",
"type": "named",
"name": "--categories",
"valueHint": "CATEGORY",
"isRepeated": true
}
],
"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"
}
]
}
],
"_meta": {
"dev.indusmcp/source": "official-registry-mirror",
"dev.indusmcp/synced": "2026-05-12"
}
}