mirror of
https://github.com/mims-harvard/ToolUniverse.git
synced 2026-09-19 07:31:47 +08:00
153 lines
5.4 KiB
JSON
153 lines
5.4 KiB
JSON
{
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"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
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"name": "io.github.mims-harvard/tooluniverse",
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"description": "2,500+ scientific tools for AI scientists: life science, research, literature, and more.",
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"websiteUrl": "https://aiscientist.tools",
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"repository": {
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"url": "https://github.com/mims-harvard/ToolUniverse",
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"source": "github"
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},
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"version": "1.5.0",
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"packages": [
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{
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"registryType": "pypi",
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"registryBaseUrl": "https://pypi.org",
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"identifier": "tooluniverse",
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"version": "1.5.0",
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"runtimeHint": "uvx",
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"transport": {
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"type": "stdio"
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},
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"packageArguments": [
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{
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"type": "positional",
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"value": "tooluniverse-smcp-stdio"
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},
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{
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"type": "positional",
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"value": "--compact-mode",
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"description": "Compact mode enabled by default: only exposes 4 core tools (tool finder, tool executor, etc.) to prevent context window overflow. All 2,500+ tools remain accessible via the execute_tool function."
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},
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{
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"type": "named",
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"name": "--categories",
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"valueHint": "CATEGORY",
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"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",
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"isRepeated": true
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}
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],
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"environmentVariables": [
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{
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"name": "OPENAI_API_KEY",
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"description": "OpenAI API key for LLM-based tool finding and embedding features",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "ANTHROPIC_API_KEY",
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"description": "Anthropic API key for Claude-based features",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "GEMINI_API_KEY",
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"description": "Google Gemini API key for Gemini-based features",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "OPENROUTER_API_KEY",
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"description": "OpenRouter API key for accessing 100+ LLM models",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "AZURE_OPENAI_API_KEY",
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"description": "Azure OpenAI API key (alternative to OpenAI)",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "HF_TOKEN",
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"description": "HuggingFace token for accessing models and datasets",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "NCBI_API_KEY",
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"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/",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "SEMANTIC_SCHOLAR_API_KEY",
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"description": "Semantic Scholar API key for higher rate limits (100 req/sec vs 1 req/sec). Register at https://www.semanticscholar.org/product/api",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "BIOGRID_API_KEY",
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"description": "BioGRID API key for protein-protein interaction queries. Register free at https://webservice.thebiogrid.org/",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "DISGENET_API_KEY",
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"description": "DisGeNET API key for gene-disease association data. Register free at https://www.disgenet.org/",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "OMIM_API_KEY",
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"description": "OMIM API key for Mendelian disease data. Register at https://omim.org/api",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "ONCOKB_API_TOKEN",
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"description": "OncoKB API token for precision oncology annotations. Register at https://www.oncokb.org/apiAccess",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "NVIDIA_API_KEY",
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"description": "NVIDIA NIM API key for AlphaFold2 structure prediction, molecular docking, and genomics tools. Get key at https://build.nvidia.com",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "USPTO_API_KEY",
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"description": "USPTO API key for patent data access. Register at https://developer.uspto.gov/",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "UMLS_API_KEY",
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"description": "UMLS API key for medical terminology and concept mapping. Register at https://uts.nlm.nih.gov/uts/",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "BRENDA_EMAIL",
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"description": "BRENDA enzyme database login email. Register at https://www.brenda-enzymes.org/",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "BRENDA_PASSWORD",
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"description": "BRENDA enzyme database login password",
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"isRequired": false,
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"isSecret": true
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}
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]
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}
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],
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"_meta": {
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"io.github.mims-harvard/publisher": {
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"tool": "manual",
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"maintainer": "Shanghua Gao <shanghuagao@gmail.com>",
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"paper": "https://arxiv.org/abs/2509.23426"
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}
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}
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}
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